Serve your application over MCP
On BTP, serving an application over MCP can be configured as an MCP server artifact in API ManagementAPI ManagementAPI proxies in front of backend services, with security and traffic management policies attached to them, and Developer Hub where consumers subscribe.sap official, btp, deployed on Integration Cell within SAP Integration SuiteSAP Integration SuiteSAP's integration service on BTP: Cloud Integration for orchestration, API Management in front of it, and an MCP gateway that serves a managed API to agents.sap official, btp. The documented source paths start from an API artifact, a classic API proxy, an HTTP endpoint with OpenAPI or an RFC backend.
Overview
API ManagementAPI ManagementAPI proxies in front of backend services, with security and traffic management policies attached to them, and Developer Hub where consumers subscribe.sap official, btp creates MCP server artifacts from API artifacts, API proxies, HTTP/OpenAPI endpoints or RFC backends and runs them through the Integration Suite MCP gateway. Servers can expose tools, URI-addressed resources and parameterised prompts.
Not covered: Availability depends on the Integration Suite service plan, with API ManagementAPI ManagementAPI proxies in front of backend services, with security and traffic management policies attached to them, and Developer Hub where consumers subscribe.sap official, btp and Integration Cell activation required for the assessed creation paths. The HTTP/OpenAPI path accepts OpenAPI 3.0.0–3.0.3. The API-artifact path accepts only OAuth-authenticated source APIs; MCP client access requires OAuth and mandatory Authentication and Authorization policies.
The API-artifact and HTTP creation guides state a 30-tool limit; the live HTTP configuration page states 50. The applicable limit for a deployment needs confirmation.
btp-cf-mcpbtp-cf-mcpAn MCP server over an SAP BTP account and its Cloud Foundry runtime that acts as the person who logged in, so their own global-account and space roles decide what an agent can see.independent, btp is a server that exposes an SAP BTP account and its Cloud Foundry runtime to an agent as read and write tools under the caller's own identity.
Policy
PolicySAP API Policy 4.2026a§ 1.1, 1.2, 2.2.2AlwaysAn MCP server exposes an SAP API, or uses SAP APIs to supply tools, resources or data to an agent.
- § 1.1 Published APIs. Published APIs are made available for the documented purposes identified by SAP, including integration, extensions and data exchange.
- § 1.2 Non-Published APIs. Customer and third-party applications must not access non-published APIs except where documentation permits it or SAP otherwise authorizes it.
- § 2.2.2 AI call sequences and data extraction. Outside SAP-endorsed architectures, data services or expressly identified pathways, the policy prohibits specified agentic API use and systematic or large-scale extraction.
MCP does not replace the API's documented-use boundary. Check that every endpoint is published for the intended use and whether the policy's AI-call or extraction provisions apply to the design.
SAP API Policy 4.2026a →Sources
Artifacts
Tasks
Change application records from an agent
Create or update application records through an MCP client. Active-record changes through business actions or entity write tools; draft lifecycle is assessed separately.
API ManagementAPI Management, on the assessed HTTP/OpenAPI source path, exposes selected API write operations as MCP tools.
Conditions: Activate API Management and the Integration Cell runtime; assign PI_Integration_Developer and create an integration package. The selected Integration Suite service plan must include this feature. For the assessed HTTP source path, supply OpenAPI 3.0.0–3.0.3 and a reachable custom application endpoint or supported destination.
Remaining work: Select the source API operations, configure the destination, tools/resources/prompts and security policies, deploy on Integration Cell and arrange client access.
Expose an application service to an AI agent
Let an MCP client discover and query application data and invoke selected business operations. Application-service exposure to MCP clients. Development-assistance tools and SAP application API gateway scenarios are outside this task.
API ManagementAPI Management, on the assessed HTTP/OpenAPI source path, creates an MCP server from a custom application HTTP endpoint and its OpenAPI specification.
Conditions: Activate API Management and the Integration Cell runtime; assign PI_Integration_Developer and create an integration package. The selected Integration Suite service plan must include this feature. For the assessed HTTP source path, supply OpenAPI 3.0.0–3.0.3 and a reachable custom application endpoint or supported destination. MCP client access uses OAuth. Authentication and Authorization policies are mandatory and cannot be deleted; Authentication must be first in the request flow.
Remaining work: Select the source API operations, configure the destination, tools/resources/prompts and security policies, deploy on Integration Cell and arrange client access.
Invoke a business operation from an agent
Invoke a selected application business operation through an MCP tool. Calling application operations; generating business logic or orchestrating a complete multi-system process is outside this task.
API ManagementAPI Management, on the assessed HTTP/OpenAPI source path, exposes selected application API operations as MCP tools.
Conditions: Activate API Management and the Integration Cell runtime; assign PI_Integration_Developer and create an integration package. The selected Integration Suite service plan must include this feature. For the assessed HTTP source path, supply OpenAPI 3.0.0–3.0.3 and a reachable custom application endpoint or supported destination.
Remaining work: Select the source API operations, configure the destination, tools/resources/prompts and security policies, deploy on Integration Cell and arrange client access.
Provide application context as MCP resources
Let an MCP client retrieve application data or schema context through resource URIs. The MCP resources primitive; a tool returning text or a document merely mentioning MCP is not a resource implementation.
API ManagementAPI Management, on the assessed HTTP/OpenAPI source path, supports URI-addressed resources for application data and context.
Conditions: Activate API Management and the Integration Cell runtime; assign PI_Integration_Developer and create an integration package. The selected Integration Suite service plan must include this feature. For the assessed HTTP source path, supply OpenAPI 3.0.0–3.0.3 and a reachable custom application endpoint or supported destination. Only GET API resources can be listed as MCP resources; the HTTP configuration guide states a limit of 15 resources per server. MCP client access uses OAuth. Authentication and Authorization policies are mandatory and cannot be deleted; Authentication is first in the request flow.
Remaining work: Choose eligible GET resources, configure their URI templates and schemas, secure access and deploy the MCP server on Integration Cell.
Publish reusable MCP prompts
Let an MCP client discover and retrieve reusable, parameterized interaction templates. Server-published MCP prompts; arbitrary application instructions and complete automated workflows are separate concerns.
API ManagementAPI Management, on the assessed HTTP/OpenAPI source path, supports parameterized MCP prompt templates.
Conditions: Activate API Management and the Integration Cell runtime; assign PI_Integration_Developer and create an integration package. The selected Integration Suite service plan must include this feature. For the assessed HTTP source path, supply OpenAPI 3.0.0–3.0.3 and a reachable custom application endpoint or supported destination.
Remaining work: Select the source API operations, configure the destination, tools/resources/prompts and security policies, deploy on Integration Cell and arrange client access.
Query application data from an agent
Retrieve selected application records through MCP without changing those records. Querying application data; exposing other write tools and granting write permissions are separate requirements.
API ManagementAPI Management, on the assessed HTTP/OpenAPI source path, exposes selected application API retrieval operations as MCP tools.
Conditions: Activate API Management and the Integration Cell runtime; assign PI_Integration_Developer and create an integration package. The selected Integration Suite service plan must include this feature. For the assessed HTTP source path, supply OpenAPI 3.0.0–3.0.3 and a reachable custom application endpoint or supported destination.
Remaining work: Select the source API operations, configure the destination, tools/resources/prompts and security policies, deploy on Integration Cell and arrange client access.
Content
Group by32 of 32 pieces
Piece, what it offers
CAP in the age of AI #7 - vector embeddings wrap-upCAP in the age of AI #7 - vector embeddings wrap-upThe same embeddings model taken from SQLite to SAP HANA Cloud, then handed to an agent. Locally it is @cap-js/ai that adds the vector functions SQLite lacks and downloads an all-MiniLM L6v2 ONNX model on first start; on HANA natural language processing has to be switched on, the model name is a mandatory argument, the vectors it returns are 768 dimensions, and dimensions must match on both sides of a comparison. HANA itself can be given SAP AI Core as a remote source for other embedding models, which a CDS.ql expression has to inject because the postfix notation only takes what the CDS model holds, and the hour ends with a search function over cosine similarity exposed over @cap-js/mcp, so an agent asked about low output from solar panels calls semantic search instead of writing the query itself.published 2026-10-16
Powering Enterprise-Ready Agentic AI with SAP Integration SuitePowering Enterprise-Ready Agentic AI with SAP Integration SuiteA Devtoberfest 2026 session (INT-31) from SAP Integration Suite product management on the MCP gateway. The demo creates an MCP server in a design package from an API already deployed on the tenant, exposes two of its 300-odd resources as tools, attaches authentication and quota policies on a policies tab, and publishes the deployed endpoint as an AI product in Developer Hub of API Management, where an agent subscribes and receives a token, URL, key and secret; the calls then show up in monitoring, in message processing logs and in the analytics dashboard, which is the MCP exposure and the tool governance the edges rest on. Three AI features inside Cloud Integration follow: a content migration agent that converts a PI/PO Java mapping into a Groovy script and generates a second integration flow for its lookup, memory profiling during a flow simulation, and root-cause analysis on a failed message processing log.SAP Developers, published 2026-10-07
🔴 Your Agent Wants to Call SAP. Now What?🔴 Your Agent Wants to Call SAP. Now What?Devtoberfest 2026 session INT-23, on what belongs between an agent and an SAP system. A solution advisor and an enterprise architect point Joule Desktop extensions at MCP servers built on API Management inside SAP Integration Suite, and ask it for business partners, orders and line items from an S/4HANA demo system; asked for the ten largest customers it answers from a sample of 200 orders rather than reading the whole table. They then open the API proxy behind it, where a spike arrest policy caps the backend at ten calls per second and the MCP server is configured to expose only the GET resources of the business-partner API so that an agent cannot create one, which is where the edges to Serve your application over MCP and Rate limiting hold. For totals across all sales orders they send the agent to SAP Business Data Cloud instead of the transactional system, since it aggregates and is read-only, and back through Integration Suite for writes such as journal entries.SAP Developers, published 2026-09-30
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Expose RFCs as MCP Tools in Integration SuiteExpose RFCs as MCP Tools in Integration SuiteWalks through creating an MCP server in SAP Integration Suite from an RFC source: an on-premise RFC destination labelled for Integration Cell inclusion, a search over the backend's function modules (minimum seven characters), and up to 50 selected modules each becoming a tool. Covers the resulting server's configuration (Source, Tools and Prompts, with no Resources section for this source) and the two scopes an RFC-based server's policy adds beyond an API-sourced one, API.invoke and ESBMessaging.send, plus the RFC receiver adapter used at runtime. Demonstrates the flow with a purchase-order scenario where an AI client calls BAPI_PO_CREATE1 and BAPI_PO_GETDETAIL1 as MCP tools.ronit199666, published 2026-09-24
From APIs to Agent Tools: How MCP Gateway changes what Integration meansFrom APIs to Agent Tools: How MCP Gateway changes what Integration meansThe opening session of the Devtoberfest 2026 integration track, in which two product managers for SAP Integration Suite set out why the suite puts an MCP gateway between agents and backend systems, and then build one. The demo turns an HTTP endpoint and its OpenAPI specification into MCP tools on the integration cell runtime, does the same on top of an existing API-centric integration, and shows the policies tab where authentication through an external provider, quotas, spike arrest and IP filtering sit, plus the trace of the JSON-RPC calls in monitoring and the agent they are earmarked against in analytics. That is where the serve your application over MCP and tool governance edges hold; RFCs and BAPIs as sources are stated as supported, and MCP federation, custom domains and edge integration cell as roadmap.SAP Developers, published 2026-09-23
Supercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewaySupercharge Joule Desktop: Connect Any SAP API in Minutes with MCP GatewayDevtoberfest 2026 session INT-13, in which an SAP solution advisor connects a live S/4HANA system to the desktop experience of Joule Work through the MCP gateway in SAP Integration Suite. One OpenAPI specification covering business partners, sales orders, material stock, billing and purchase requisitions is uploaded as an MCP server artifact, deployed to integration cell with XSUAA inbound authentication, and registered as an MCP connector; the destination behind it is then switched from basic authentication to principal propagation, and the Cloud Connector monitor shows the same question arriving as the presenter's own user. That demonstration is the serve your application over MCP edge, and the second half is Joule Work itself: a Markdown skill that fixes the steps and format of a customer briefing, and a Space the skill rebuilds with each run.SAP Developers, published 2026-09-23
Create an MCP Server for Enterprise AI AgentsCreate an MCP Server for Enterprise AI AgentsWraps the preceding supply-risk graph from API Composition as an MCP server in Integration Suite, with API Management activated as a prerequisite. The walkthrough selects retrieval tools, deploys on Integration Cell, publishes a product in Developer Hub, creates an agent subscription and invokes the tools in MCP Inspector; its companion tutorial uses mock backends.Shyam, published 2026-09-23
SAP Just Became AI-Agent Ready — Here's a Step-by-Step MCP WalkthroughSAP Just Became AI-Agent Ready — Here's a Step-by-Step MCP WalkthroughBuilds an MCP Server on SAP Integration Suite's Integration Cell, in front of a Cloud Integration flow that passes an OData V4 backend through untouched, with three tools generated from an OpenAPI spec. Secures it with OAuth 2.0 on SAP BTP client_credentials against XSUAA, and walks through the scope mismatch — the service key issues ESBMessaging.send, not the server's default API.invoke — that returns 403 until corrected; the finished server is then registered as a tool in Claude Code.published 2026-09-04
SAP Integration Suite + MCP: A Practical Architecture for AI Agents and SAPSAP Integration Suite + MCP: A Practical Architecture for AI Agents and SAPLays out the runtime chain for exposing S/4HANA APIs to an AI agent through SAP Integration Suite: the agent calls a tool on the MCP Gateway, which is built from a governed API Artifact, which still runs on Cloud Integration for mapping, routing and error handling before reaching the backend. It states that the API-artifact approach requires the Integration Cell runtime rather than the normal CPI message-processing runtime, an OAuth-secured REST or OData artifact on OpenAPI 3.0.0-3.0.3, and an entitlement that is service-plan dependent (citing SAP Note 2903776) — so the architecture question is whether the landscape already has the right MCP entitlement, runtime and API foundation.aayushaggarwal, published 2026-09-02
CAP in the age of AI #3 - from MCP to A2ACAP in the age of AI #3 - from MCP to A2AThe episode that finishes @cap-js/mcp with authorisation and then crosses to agents. @requires and @restrict are the same annotations CAP already has, and the plugin reads them to filter the tool list and the describe output per user and per request, so a model is not told about entities the caller cannot reach — where the OData metadata of the same service lists every exposed entity regardless. The second half annotates a service with @agent from @cap-js/agents, which serves it over A2A with an agent card and a chat preview, runs first against a mocked response and then against SAP AI Core bound with cds bind and a hybrid profile, and reuses the MCP adapter's tools rather than defining new ones.published 2026-08-21
Connecting a Custom MCP Server to Joule Work Desktop: A Seamless and Secure Authentication FlowConnecting a Custom MCP Server to Joule Work Desktop: A Seamless and Secure Authentication FlowWalks through connecting a custom MCP server to Joule Work Desktop: a Dynamic Client Registration handshake (RFC 7591) followed by an Authorization Code + PKCE flow through the organisation's SSO via XSUAA or IAS, so authentication establishes the human identity that Joule then attaches to every subsequent tool call. That forwarded identity lets the BTP backend apply its existing authorization checks and row-level data filtering instead of a second permission model, and a role change in XSUAA revokes access on the next token refresh.published 2026-08-17
RFC/BAPIs Meet AI Agents: Why SAP Integration Suite MCP Server MattersRFC/BAPIs Meet AI Agents: Why SAP Integration Suite MCP Server MattersExplains that SAP Integration Suite's MCP Server artifact can expose RFC-enabled BAPIs, alongside API artifacts and HTTP endpoints, as MCP tools — letting BAPIs on SAP ECC or on-premise S/4HANA participate in agentic workflows without rewriting business logic or waiting for a full ERP transformation. Frames RFC support as a bridge for organisations still modernising rather than a recommendation to build new RFC-based integrations, and notes the exposed BAPIs inherit the server's existing authentication, rate limiting and IP filtering. A demo built against an SAP ECC backend shows an MCP client discovering and invoking several read-only BAPIs from natural-language prompts, with no custom wrapper code.arunmaarirajha_kv, published 2026-07-28
API Composition: Seamless Enterprise Data Access for Developers and AI AgentsAPI Composition: Seamless Enterprise Data Access for Developers and AI AgentsAPI Composition (formerly Graph, a capability of API Management) curates business data graphs from existing SAP and non-SAP API providers, so a query can navigate and expand relationships across systems through one composed API rather than hand-written integration code. Palak walks through combining SAP S/4HANA warehouse-stock data with Everstream Analytics risk data into one API, then exposing that composed API as an MCP server so an AI agent calls it with the same semantic context — the scenario behind API Management's MCP servers coverage.published 2026-07-27
MCP Servers on SAP Integration Suite : Build Your First MCP Server from an APIMCP Servers on SAP Integration Suite : Build Your First MCP Server from an APIWalks through building an MCP server on SAP Integration Suite from an existing managed API — SAP S/4HANA's Purchase Order API — rather than from an HTTP endpoint or an RFC, which the same creation wizard supports but a later post in the series is left to cover. Selected API operations become MCP Tools with generated input and output schemas, the server inherits its Authentication policy from the source API, and a Process Integration Runtime service instance supplies the OAuth credentials an external client needs to invoke it. Ends by connecting the deployed server to Cline in VS Code and having it chain tool calls to answer a natural-language purchase-order query.published 2026-07-15
From SAP Integration Suite iFlow to MCP Tools: Exposing OData APIs to AI AgentsFrom SAP Integration Suite iFlow to MCP Tools: Exposing OData APIs to AI AgentsBuilds an MCP Server artifact inside SAP Integration Suite's Integration Cell runtime that fronts a Northwind OData V4 API through a Cloud Integration iFlow, turning each OpenAPI operation into a tool an agent can call. Walks through the OAuth2 client-credentials flow against XSUAA and the authorization policy scope — ESBMessaging.send in place of the default API.invoke — that gates access to the MCP server, then tests the server from Claude Code.published 2026-07-14
Turn SAP APIs into MCP Tools for AI Agents using SAP Integration Suite Free TrialTurn SAP APIs into MCP Tools for AI Agents using SAP Integration Suite Free TrialWalks through building an MCP server on SAP Integration Suite's free trial from an existing API artifact — the Business Partner API against a public S/4HANA Cloud sandbox — rather than from an HTTP endpoint with an OpenAPI specification or from RFC-enabled function modules, the creation wizard's other two source types, left unexplained here. Covers the API artifact's Content Modifier policy that injects the Business Accelerator Hub API key before the backend call, and the "Trust Upstream MCP Authorization" setting that lets the MCP server delegate authorization checks to that source API instead of duplicating them. Ends by fetching an OAuth token from a Process Integration Runtime service key and pointing an MCP client at the deployed server over streamable HTTP.published 2026-07-13
Building MCP Servers with SAP Integration Suite: What to Design, Not Just How to ConnectBuilding MCP Servers with SAP Integration Suite: What to Design, Not Just How to ConnectArgues that the tool design, not the connection, is the hard part of putting an API in front of an agent. Works one request — create a customer — through eight endpoint-shaped tools, where the agent carries ids between calls and rebuilds the business rules each run, then through a single intent-shaped create_customer that hides the sequence; and says what separates the two: a business operation for a name, parameters a caller can supply without a lookup, the rules in the server rather than the prompt, and a description written for an agent choosing a tool. The SAP Integration Suite half is short — three creation paths, an iFlow behind the API artifact when a tool has to cross systems — and it closes on a checklist to run before publishing.published 2026-07-07
HANA AI Toolkit — Local MCP ServerHANA AI Toolkit — Local MCP ServerAn MCP server that turns the hana-ml Python library into governed tools an agent can call against a HANA Cloud instance, shipped in the hana-ai toolkit and exposed over stdio, SSE and streamable HTTP. Its one firm rule is attributable execution: an audit module writes the MCP-side identity — agent, model, session, tool, redacted arguments — into the HANA connection before any SQL runs, and fails the call if that write fails. A worked example of governance on an MCP tool surface, from SAP's data side rather than CAP's.published 2026-06-15
AI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform LayerThe platform layer of SAP's North Star architecture, the chapter that says where agents run and what a developer builds them with. It names an AI Golden Path built on the SAP Cloud Application Programming Model, the ABAP Cloud development model with RAP and the SAP Fiori design system, and a managed agent runtime on SAP BTP that is designed to provide software development kits for building agents in any framework, an agent sandbox, container-hosted execution, a skills registry and continuous evaluations, which is the ground agent tooling covers. Agents are extended without changing their code through four patterns, the first of them tool extensibility through the Model Context Protocol, the concern MCP servers is named for; the process-layer chapter adds that a pro-code path with a standardised agent SDK and a prompt-driven path through the Joule Studio solution produce the same code artifact on the same runtime. It describes a design SAP intends rather than products that exist, and the SDK and the registry it names have no entry here yet.published 2026-05-13
AI-native North Star architecture — Platform Layer
Agent tooling changed in @cap-js/agents 0.9.1, 2026-08-14. Affects A reference.
Agentic AI on BTP: a Multi‑Agent App with Pydantic AIAgentic AI on BTP: a Multi‑Agent App with Pydantic AISplits a single CAP/TypeScript agent that had grown to juggle five BTP MCP servers behind one bloated tool list into btp-multiagent-app, a Python and Pydantic AI rewrite where the Cloud Foundry and BTP Core MCP servers each get a dedicated specialist agent, with an audit log specialist scaffolded but left disabled, behind an orchestrator whose only tools are delegation calls to those specialists, which is the agent-tooling pattern the piece works through. Each specialist authenticates to its MCP server over Streamable HTTP with OAuth 2.1, and a shared module centralises the SAP AI Core GenAI Hub model setup behind two credential layouts, one for local runs and one for the Cloud Foundry service binding, the LLM integration side of the rewrite. Tool lists per agent drop from well over a hundred to a dozen or two, and routing failures become separable from tool-misuse failures by reading the trace.published 2026-05-03
Agentic AI on BTP: a Single Agent with LangGraphAgentic AI on BTP: a Single Agent with LangGraphA CAP TypeScript agent puts a LangGraph StateGraph in front of AzureOpenAiChatClient from @sap-ai-sdk/langchain, reaching SAP AI Core's Generative AI Hub, and lets its tool-calling loop draw on five deployed MCP servers — OData MCP Proxy, CI MCP Server, AI Core MCP Server, BTP MCP Server and BTP CF MCP Server — through @langchain/mcp-adapters' MultiServerMCPClient. Because agent, servers and APIs share one XSUAA tenant, the chat service forwards the signed-in user's own JWT instead of a service account, so each downstream server enforces that user's own authorizations. Past roughly a hundred combined tools the single prompt slows down and stops separating concerns, which is why the author's next post splits it into one specialist agent per MCP server behind an orchestrator.published 2026-05-03
BTP Audit Log MCP Server: Security Monitoring with AI AssistantsBTP Audit Log MCP Server: Security Monitoring with AI AssistantsWouter Lemaire builds an MCP server over SAP BTP's Audit Log Retrieval API using odata-mcp-proxy, with a single entity set and zero custom code, so an AI assistant can answer natural-language questions like "Were there any configuration changes yesterday?" by calling AuditLogRecords_list against a BTP destination authenticated with the Audit Log service's service key. It covers the destination setup, the entity-set configuration that maps the PascalCase entity name to a lowercase auditlogrecords path, and handling the API's 500-record pagination limit.published 2026-03-13
BTP Cloud Foundry MCP Server: Managing CF Environments with AIBTP Cloud Foundry MCP Server: Managing CF Environments with AIWalks through a server built on odata-mcp-proxy that exposes the Cloud Foundry V3 API's 28 entity sets — apps, orgs, spaces, services, networking, quotas — as MCP tools from a JSON config with no application code. It shows the config shape that bridges the API's snake_case paths to PascalCase tool names via a urlPath field, and the OAuth2 client-credentials destination setup an assistant needs to reach a CF landscape.published 2026-03-13
Third-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPDescribes external MCP servers and custom servers on BTP, assigning their operators responsibility for authentication, scoped identity, API limits, logging and lifecycle. The permitted use remains conditional on the SAP API Policy, while SAP Integration Suite and Joule Studio are described as SAP-provided paths. Hosting a server on BTP does not automatically supply its governance controls.Dhawal Joshi, Harut Ter-Minasyan, Mirko Günther
Model Context Protocol (MCP)Model Context Protocol (MCP)Frames the Model Context Protocol as the answer to an M-times-N integration problem: one shared protocol turns M agents and N tools into M plus N connections, and one server can be called by any compliant agent. On SAP BTP its implementation section lists an SAP MCP Hub as a no-code way to expose enterprise tools, SAP Integration Suite's MCP Gateway as what it calls the governed path for exposing SAP and non-SAP APIs as MCP-compliant tools, custom SDK-based servers, SAP's MCP servers for development, and an MCP adapter for CDS as a CAP plugin marked coming soon. That is the ground MCP servers covers; for security it points at a separate page.
Configure an MCP Server Created from an HTTP EndpointConfigure an MCP Server Created from an HTTP EndpointDocuments configuring API Management’s HTTP-source MCP server tools, resources, prompts and policies. Resources are selected from GET operations and have URI templates/content types; prompts define User/Assistant messages with optional arguments, alongside MCP policy configuration.
MCP Server — SAP Integration SuiteMCP Server — SAP Integration SuiteSAP's own page for the MCP Server artifact in SAP Integration Suite, and where the gateway that runs it is described: MCP clients and API clients reach the same backends through two gateways that share security, traffic management and multi-protocol connectivity. Sets out the three primitives a server may expose — tools derived from API operations with an input and output schema, resources addressed by URI for context rather than action, and prompts as reusable interaction patterns. Says availability depends on the Integration Suite service plan, and points at the three creation paths as separate pages.
Agentic CAP: Build MCP servers and enterprise AI agentsAgentic CAP: Build MCP servers and enterprise AI agentsCAP applications become AI agents over the Model Context Protocol and the Agent2Agent protocol, which is the serve your application over MCP concern, and SAP AI Core is the LLM integration through which AI is embedded in a CAP app, with recommendations from the SAP-RPT-1 model as the abstract's example. The abstract names the two protocols and the one model and does not say which packages carry them. A two-hour TechEd 2026 session in a hands-on room (Tuesday 27 October, Berlin), presented by Daniel Hutzel, Daniel Schlachter, Marc Huber and Sami Lechner, written here from SAP's abstract; the recording is not yet published.
Powering Enterprise-Ready Agentic AI with SAP Integration SuitePowering Enterprise-Ready Agentic AI with SAP Integration SuiteA Devtoberfest 2026 session (INT-31) from SAP Integration Suite product management on the MCP gateway. The demo creates an MCP server in a design package from an API already deployed on the tenant, exposes two of its 300-odd resources as tools, attaches authentication and quota policies on a policies tab, and publishes the deployed endpoint as an AI product in Developer Hub of API Management, where an agent subscribes and receives a token, URL, key and secret; the calls then show up in monitoring, in message processing logs and in the analytics dashboard, which is the MCP exposure and the tool governance the edges rest on. Three AI features inside Cloud Integration follow: a content migration agent that converts a PI/PO Java mapping into a Groovy script and generates a second integration flow for its lookup, memory profiling during a flow simulation, and root-cause analysis on a failed message processing log.SAP Developers, published 2026-10-07
🔴 Your Agent Wants to Call SAP. Now What?🔴 Your Agent Wants to Call SAP. Now What?Devtoberfest 2026 session INT-23, on what belongs between an agent and an SAP system. A solution advisor and an enterprise architect point Joule Desktop extensions at MCP servers built on API Management inside SAP Integration Suite, and ask it for business partners, orders and line items from an S/4HANA demo system; asked for the ten largest customers it answers from a sample of 200 orders rather than reading the whole table. They then open the API proxy behind it, where a spike arrest policy caps the backend at ten calls per second and the MCP server is configured to expose only the GET resources of the business-partner API so that an agent cannot create one, which is where the edges to Serve your application over MCP and Rate limiting hold. For totals across all sales orders they send the agent to SAP Business Data Cloud instead of the transactional system, since it aggregates and is read-only, and back through Integration Suite for writes such as journal entries.SAP Developers, published 2026-09-30
Create an MCP Server for Enterprise AI AgentsCreate an MCP Server for Enterprise AI AgentsWraps the preceding supply-risk graph from API Composition as an MCP server in Integration Suite, with API Management activated as a prerequisite. The walkthrough selects retrieval tools, deploys on Integration Cell, publishes a product in Developer Hub, creates an agent subscription and invokes the tools in MCP Inspector; its companion tutorial uses mock backends.Shyam, published 2026-09-23
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API Composition: Seamless Enterprise Data Access for Developers and AI AgentsAPI Composition: Seamless Enterprise Data Access for Developers and AI AgentsAPI Composition (formerly Graph, a capability of API Management) curates business data graphs from existing SAP and non-SAP API providers, so a query can navigate and expand relationships across systems through one composed API rather than hand-written integration code. Palak walks through combining SAP S/4HANA warehouse-stock data with Everstream Analytics risk data into one API, then exposing that composed API as an MCP server so an AI agent calls it with the same semantic context — the scenario behind API Management's MCP servers coverage.published 2026-07-27
Turn SAP APIs into MCP Tools for AI Agents using SAP Integration Suite Free TrialTurn SAP APIs into MCP Tools for AI Agents using SAP Integration Suite Free TrialWalks through building an MCP server on SAP Integration Suite's free trial from an existing API artifact — the Business Partner API against a public S/4HANA Cloud sandbox — rather than from an HTTP endpoint with an OpenAPI specification or from RFC-enabled function modules, the creation wizard's other two source types, left unexplained here. Covers the API artifact's Content Modifier policy that injects the Business Accelerator Hub API key before the backend call, and the "Trust Upstream MCP Authorization" setting that lets the MCP server delegate authorization checks to that source API instead of duplicating them. Ends by fetching an OAuth token from a Process Integration Runtime service key and pointing an MCP client at the deployed server over streamable HTTP.published 2026-07-13
Configure an MCP Server Created from an HTTP EndpointConfigure an MCP Server Created from an HTTP EndpointDocuments configuring API Management’s HTTP-source MCP server tools, resources, prompts and policies. Resources are selected from GET operations and have URI templates/content types; prompts define User/Assistant messages with optional arguments, alongside MCP policy configuration.
Graph on Integration Suite: Simplifying Multi-API Data Retrieval with Unified Business Data GraphGraph on Integration Suite: Simplifying Multi-API Data Retrieval with Unified Business Data GraphA hands-on walkthrough of Graph, the API Management feature of SAP Integration Suite also called Business Data Graphs, which exposes several OData APIs as one connected data model behind a single OData V4 or GraphQL endpoint. It covers enabling the capability and its Graph.KeyUser and GraphNavigator.Viewer role collections, creating BTP destinations and a service key for an S/4HANA system, then building a Business Data Graph over the Sales Order and Business Partner APIs so a mirrored SoldToParty association returns both in one call, in place of the two OData requests a Cloud Integration Content Enricher would otherwise merge.published 2026-01-09
SAP PI Migration to BTP Integration Suite Patterns and learning experiencesSAP PI Migration to BTP Integration Suite Patterns and learning experiencesWalks through the integration patterns an SAP PI migration project moved onto SAP Cloud Integration iFlows — API Management proxies fronting calls into on-premise SAP systems over XI/SOAP via Cloud Connector, SFTP transfers, and eventing routes — and the operational lessons from running it: sizing JMS queues, choosing exactly-once JMS queues over Cloud Integration's Data Store for XI receiver adapters and at-least-once JMS for XI sender adapters, and workarounds for gaps in the migration tooling. The API Management proxies handle JWT validation against a non-SAP identity provider, IP filtering and OData-to-OpenAPI conversion in front of the iFlows.saikrishna_kalivarapu2, published 2024-12-04
Information Map – Introduction Series: Graph in SAP Integration SuiteInformation Map – Introduction Series: Graph in SAP Integration SuiteIntroduces Graph, an enhancement to API Management within SAP Integration Suite that gives developers a single API onto an organisation's business systems, modelled as one semantically connected business data graph, later renamed API Composition. Splits the work between an administrator, who enables SAP BTP destinations to the backend systems and builds the business data graph, and a developer, who explores it in the Graph Navigator tool and builds an application against the resulting Graph API.published 2024-02-21
Road map for SAP Integration Suite: What ships next across all capabilitiesRoad map for SAP Integration Suite: What ships next across all capabilitiesSAP's road map for SAP Integration Suite across its capability areas: API Management, event-driven integration, business process and trading partner integration, and hybrid runtimes for SAP and third-party systems. The abstract promises recent deliveries and the planned innovations that make the platform agent-ready within SAP Business AI Platform; it names the areas and no shipping item, so the edges rest on the product and the one area it names by a product name. A TechEd 2026 session (Thursday 29 October, Berlin; also IN804V, virtual), written here from SAP's abstract; the recording is not yet published.
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ai-enabled-integrations-codejamai-enabled-integrations-codejamA CodeJam that processes customer support requests in SAP Cloud Integration with an LLM in SAP AI Core, then exposes APIs to an agent as MCP servers through API Management's MCP Gateway.sap official, btp
ai-enabled-integrations-codejam
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Agentic AI & AI AgentsAgentic AI & AI Agentsexternal MCP servers and APIs that extend agent capabilitiesAgentic AI & AI AgentsAgentic AI & AI Agentscustom MCP server a customer or partner builds and operates on SAP BTPAI-native North Star architecture — Platform LayerAI-native North Star architecture — Platform Layertool extensibility through the Model Context ProtocolThird-Party MCP Server Access to SAP Solutions on BTPThird-Party MCP Server Access to SAP Solutions on BTPCustomer-operated MCP server
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