@cap-js/mcp-server
SAP's MCP server for CAP development, run as cds-mcp: search_model searches the project's compiled CDS model, search_docs searches the CAP documentation indexed as embeddings on the developer's own machine.
A coding agent asked to change a CAP project answers from what it remembers about CAP and from whichever .cds files it happened to open. This server gives it two tools instead: search_model fuzzy-matches names in the compiled CDS model, which carries every definition with its annotations and the HTTP endpoints the services are served at, and search_docs runs a semantic search over preprocessed CAP documentation held as embeddings on the machine the server runs on. It is registered with the MCP client rather than added to the project: the client starts npx -y @cap-js/mcp-server, for which the README shows the configuration in VS Code, Claude Code, OpenAI Codex and opencode, and two rules to paste into AGENTS.md are what tell the model to search before it proposes a change. Installed globally it is also a command, so cds-mcp search_docs and cds-mcp search_model answer the same two questions from a terminal. Both tools read; what the agent then writes is the agent's.
Facts
Where it sits
Who is behind it
In the atlas: maintains 34@cap-jsmaintainerChristian GeorgiContributes to this
In the atlas: maintains 1, contributes to 53@chgeoDr. David A. KunzContributes to this
In the atlas: contributes to 16@David-KunzKevin RiedelsheimerContributes to this
In the atlas: contributes to 11@KevinRiedelsheimerSimon KoblerContributes to this
In the atlas: contributes to 6@KoblerSLars PlessingContributes to this
In the atlas: contributes to 9@larsPlessingOle LilienthalContributes to this
In the atlas: contributes to 1@ole-lilienthalVladimirs SemikinsContributes to this
In the atlas: contributes to 1@seVladimirssjvansContributes to this
In the atlas: contributes to 45@sjvansMahati ShankarContributes to this
In the atlas: contributes to 4@smahatiSteffen WaldmannContributes to this
In the atlas: contributes to 25@swaldmann10 contributors
Before choosing this
Conditions
PracticalFunctional boundary
The tools are documented as meant for AI models and not a stable API, so anything built to parse cds-mcp output rather than to feed a model can break between releases. Its corpus is the CAP documentation, so Fiori elements, BTP service or ABAP questions are not in what search_docs indexes.
What it declares
Every artifact
- Type
- MCP server
- Origin
- By SAP
As an MCP server
- Transport
- stdio
Connections
Letting a coding agent read and act on your project or system
Finding answers in written documentation, and writing what is missing
CAP Node.js runtime
Command line client and development toolkit for CAP
Forty SAP development plugins for coding agents
MCP server inside a CAP application with model and query tools
Download
Install
npm add @cap-js/mcp-serverDerived from the package name. No recipe recorded; the README has the configuration.
Learn more
- AI Assisted CAP DevelopmentAI Assisted CAP DevelopmentA Devtoberfest 2026 session (CAP-43) on building CAP applications with a coding agent, in two demos. The first asks the same question twice in a dev container, once with no MCP server configured and once with @cap-js/mcp-server registered: without it the agent answers CAP's semantic search with an outdated vector type and CQL, with its documentation search it writes the built-in vector embedding function and a working similarity query. The second installs the cap-developer plugin from capire/skills, from a Devtoberfest preview branch, and runs its guided-development skill stage by stage — domain model, sample data, services, constraints — each stage reviewed before the next.SAP Developers, published 2026-10-16SAP Developers, YouTube — SAP Developers playlists
- Boost your CAP Development with AI: Introducing the MCP Server for CAPBoost your CAP Development with AI: Introducing the MCP Server for CAPThe announcement of the development-tool half of the two things called MCP here: a server that gives an agent context about the project in front of it and relevant CAP examples, so Claude Code or Copilot steers better. Names the agents it was tried with, which is more than most announcements do.published 2025-09-03BirgitS, SAP Community
- OData to outcomes—Build AI-enabled SAP Fiori apps using SAP Fiori elementsOData to outcomes—Build AI-enabled SAP Fiori apps using SAP Fiori elementsA Fiori elements app built through SAP's MCP servers: the OData V4 service comes from the MCP server for RAP, which the atlas holds as the ADT MCP Server, or from @cap-js/mcp-server for CAP, and the UI from @sap-ux/fiori-mcp-server, with annotations and actions added before the app is tied to SAP's AI features. Agent access to your code on both the service and the UI side; SAP's abstract names the servers and the steps and says nothing about which AI features or which agent host. A TechEd 2026 session (Thursday 29 October, Berlin), presented by Benedikt Schoelch, Sebastian Steinhauer, Sebastian Werner and Stefan Engelhardt, written here from SAP's abstract; the recording is not yet published.Stefan Engelhardt, SAP TechEd — session catalogue
Architecture
Download
README
quoted from cap-js/mcp-server under Apache-2.0, readWelcome to @cap-js/mcp-server
About This Project
A Model Context Protocol (MCP) server for the SAP Cloud Application Programming Model (CAP). Use it for AI-assisted development of CAP applications (agentic coding).
The server helps AI models answer questions such as:
- Which CDS services are in this project, and where are they served?
- What are the entities about and how do they relate?
- How do I add columns to a select statement in CAP Node.js?
Table of Contents
- About This Project
- Requirements
- Setup
- Available Tools
- Support, Feedback, Contributing
- Security / Disclosure
- Code of Conduct
- Licensing
- Acknowledgments
Requirements
See Getting Started on how to jumpstart your development and grow as you go with SAP Cloud Application Programming Model.
Setup
Configure your MCP client (Cline, opencode, Claude Code, GitHub Copilot, etc.) to start the server using the command npx -y @cap-js/mcp-server as in the following examples.
Usage in Claude Code
Register the server with Claude Code.
For all projects (user scope):
claude mcp add --scope user cds-mcp -- npx -y @cap-js/mcp-server
For the current project only (local scope, not committed):
claude mcp add cds-mcp -- npx -y @cap-js/mcp-server
For the current project only (committed to the repository):
claude mcp add --scope project cds-mcp -- npx -y @cap-js/mcp-server
To set an environment variable, add --env before the server name:
claude mcp add --scope user --env CDS_MCP_MODEL=nomic-ai/nomic-embed-text-v1.5 cds-mcp -- npx -y @cap-js/mcp-server
Usage in VS Code
Example for VS Code extension Cline:
{
"mcpServers": {
"cds-mcp": {
"command": "npx",
"args": ["-y", "@cap-js/mcp-server"],
"env": {}
}
}
}
Example for VS Code global mcp.json:
Note: GitHub Copilot uses the
mcp.jsonfile as source for it's Agent mode.
{
"servers": {
"cds-mcp": {
"command": "npx",
"args": ["-y", "@cap-js/mcp-server"],
"env": {},
"type": "stdio"
},
"inputs": []
}
}
To set an environment variable, replace the server's empty env object with:
"env": {
"CDS_MCP_MODEL": "nomic-ai/nomic-embed-text-v1.5"
}
See VS Code Marketplace for more agent extensions.
Usage in OpenAI Codex
Register the server with OpenAI Codex:
codex mcp add cds-mcp -- npx -y @cap-js/mcp-server
To set an environment variable, add --env before the command:
codex mcp add cds-mcp --env CDS_MCP_MODEL=nomic-ai/nomic-embed-text-v1.5 -- npx -y @cap-js/mcp-server
Usage in opencode
Add to opencode.jsonc in your project, or to ~/.config/opencode/opencode.jsonc for global use:
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"cds-mcp": {
"type": "local",
"command": ["npx", "-y", "@cap-js/mcp-server"],
"environment": {
"CDS_MCP_MODEL": "nomic-ai/nomic-embed-text-v1.5"
},
"enabled": true
}
}
}
This is the opencode v1 format. In opencode v2, use the same config but nest the server under "servers" — "mcp": { "servers": { "cds-mcp": { ... } } } — or use the CLI instead:
opencode mcp add --global cds-mcp -- npx -y @cap-js/mcp-server
To set an environment variable:
opencode mcp add --global cds-mcp \
--env CDS_MCP_MODEL=nomic-ai/nomic-embed-text-v1.5 \
-- npx -y @cap-js/mcp-server
Environment Variables
| Variable | Description |
|---|---|
CDS_MCP_OFFLINE | Set to true to use locally cached embeddings without checking for updates. Accepts true or false. |
CDS_MCP_MODEL | Non-empty embedding model name. |
CDS_MCP_MANIFEST_TIMEOUT | Manifest request timeout in positive integer milliseconds. Defaults to 15000. |
CDS_MCP_DOWNLOAD_TIMEOUT | Bundle response-header timeout in positive integer milliseconds. Defaults to 30000. |
CDS_MCP_GENERIC_EMBEDDINGS | Set to true to skip the runtime filter and search all runtimes. By default search_docs keeps only the chunks of the detected project runtime (Node.js or Java) plus the runtime-agnostic chunks. |
CDS_MCP_MAX_RESULTS | Upper limit on the number of search_docs results, as a positive integer. Caps the per-call maxResults. |
RERANK_ENABLED | Set to true to rerank search_docs results with a local cross-encoder model. Accepts true or false; disabled by default. |
CDS_MCP_RERANK_MODEL | Non-empty cross-encoder model name used when reranking. Defaults to Xenova/ms-marco-MiniLM-L-6-v2. |
CDS_MCP_RERANK_DTYPE | Non-empty data type used to load the reranking model. Defaults to q8; set to fp32 for models without model_quantized.onnx. |
CDS_MCP_RERANK_EXTERNAL_DATA | Set to true for reranking models whose ONNX weights are stored in external .onnx_data files. Accepts true or false. |
CDS_MCP_RERANK_BATCH_SIZE | Positive integer number of results to process in each reranking batch. Defaults to 1. |
Rules
The following rules help the LLM use the server correctly:
- You MUST search for CDS definitions, like entities, fields and services (which include HTTP endpoints) with cds-mcp, only if it fails you MAY read \*.cds files in the project.
- You MUST search for CAP docs with cds-mcp EVERY TIME you create, modify CDS models or when using APIs or the `cds` CLI from CAP. Do NOT propose, suggest or make any changes without first checking it.
Add these rules to your existing global or project-specific AGENTS.md (specifics may vary based on respective MCP client).
CLI Usage
You can also use the tools directly from the command line.
npm i -g @cap-js/mcp-server
Warning
When the package is installed globally,
npxuses the installed version instead of downloading the latest from npm. You must update the package manually:npm update -g @cap-js/mcp-server
This will provide the command cds-mcp, with which you can invoke the tools directly as follows.
# Search CAP documentation
cds-mcp search_docs "how to add columns to a select statement in CAP Node.js" 1
# Search for CDS model definitions
cds-mcp search_model . Books entity
Available Tools
Note
Tools are meant to be used by AI models and do not constitute a stable API.
The server provides these tools for CAP development:
search_docs
This tool uses vector embeddings to locally search through preprocessed CAP documentation, stored as embeddings. The process works as follows:
- Query processing: Your search query is converted to an embedding vector.
- Similarity search: The system finds documentation chunks with the highest semantic similarity to your query.
This semantic search approach enables you to find relevant documentation even when your query does not use the exact keywords found in the docs, all locally on your machine.
search_model
This tool performs fuzzy searches against names of definitions from the compiled CDS model (Core Schema Notation).
CDS compiles all your .cds files into a unified model representation that includes:
- All definitions and their relationships
- Annotations
- HTTP endpoints
The fuzzy search algorithm matches definition names and allows for partial matches, making it easy to find entities like "Books" even when searching for "book".
Support, Feedback, Contributing
This project is open to feature requests/suggestions, bug reports, and so on, via GitHub issues. Contribution and feedback are encouraged and always welcome. For more information about how to contribute, the project structure, as well as additional contribution information, see our Contribution Guidelines.
Security / Disclosure
If you find any bug that may be a security problem, please follow our instructions at in our security policy on how to report it. Please don't create GitHub issues for security-related doubts or problems.
Code of Conduct
We as members, contributors, and leaders pledge to make participation in our community a harassment-free experience for everyone. By participating in this project, you agree to abide by its Code of Conduct at all times.
Licensing
Copyright 2025 SAP SE or an SAP affiliate company and @cap-js/cds-mcp contributors. Please see our LICENSE for copyright and license information. Detailed information including third-party components and their licensing/copyright information is available via the REUSE tool.
Acknowledgments
- onnxruntime-web is used for creating embeddings locally.
- @huggingface/transformers.js is used to compare the output of the WordPiece tokenizer.
- @modelcontextprotocol/sdk provides the SDK for MCP.
History
Features 2, Changed 2, Fixes 1
Notes
Added
- Accept precomputed
canonicalChunksincreateEmbeddings, validated as an array at creation time - Export the default
MODELconstant fromcalculateEmbeddings
Changed
- Changed the default embedding model from
sentence-transformers/all-MiniLM-L6-v2toBAAI/bge-small-en-v1.5for improved retrieval quality - Clarified the
search_docstool and query parameter descriptions, guiding term choice toward specific concepts and away from corpus-wide terms
Fixed
- Bound all network requests with
AbortSignal.timeout(manifest 6 s, bundle download 10 s) so hung or slow upstream servers cannot block the server indefinitely
Features 3, Changed 1, Fixes 4
Notes
Added
- Hybrid search for
search_docs: semantic cosine similarity combined with BM25 keyword search (SQLite FTS5, with a pure-JS fallback when FTS5 is not compiled intonode:sqlite) via weighted Reciprocal Rank Fusion - Optional local cross-encoder reranking of
search_docsresults, opt-in viaRERANK_ENABLED - Fall back to the globally installed
cds-dk's@sap/cdsruntime version when the project provides no local CDS
Changed
- Skip the daily embeddings-bundle re-check when the local files are fresh (within one day), scoped to the detected runtime
Fixed
- Fall back to local embeddings when the bundle download fails due to a network error
- Read the RFC 9457
detailfield from non-OK bundle fetch responses for clearer error messages - Anchor the ONNX model cache to the package root instead of the caller's working directory
- Exclude OData-contained entities from the exposed model by computing the contained set from the compiled model (the runtime
_containedEntitiesgetter is absent on compiled definitions)
- Hybrid search for
Features 3, Changed 4, Fixes 6
Notes
Added
- Configurable embedding model per client via the
--model <name>CLI flag andCDS_MCP_MODELenvironment variable - Capire-versioned embeddings with local manifest resolution
- Per-chunk metadata in
searchMarkdownDocsoutput
Changed
- Changed the default embedding model from
Xenova/all-MiniLM-L6-v2tosentence-transformers/all-MiniLM-L6-v2 - Switched to CAP AI SQLite
VECTOR_EMBEDDING - Improved
search_docsquery param description - Replaced background model polling and
CDS_MCP_REFRESH_MSwith request-driven model and configuration refresh
Fixed
- Blank
Cache-Control/Pragmaso conditional GET can 304, avoiding a full re-download of the embeddings bundle on every startup - Isolated project model caches and CAP compiler/global state across requests
- Preserved transitive model imports for explicitly trusted direct CLI projects
- Prevented rejected MCP model compilations from exposing out-of-root diagnostics
- Refreshed cached models after changes to CAP project configuration
- Restricted MCP model access to advertised workspace roots, including symlink and resolved-source validation
- Configurable embedding model per client via the
Features 2
Notes
Added
- Support for MCP Bundles (Claude Desktop), Claude Code CLI plugin, and Claude Code MCP config
- Support for MCP Registry
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- workskong/mcp-abap-adtworkskong/mcp-abap-adtA deliberately light MCP adapter over ABAP ADT for object search, source, DDIC metadata, a data preview and runtime diagnostics, read-only in practice and documented in Korean.independent, abapLight MCP adapter for ABAP over ADT, documented in Koreanfrom ABAP
- KlystronKlystronAn MCP server written in ABAP that runs inside the application server behind an ICF service and exposes typed tools for ABAP development, quality, transports, customizing, roles, Basis operations and integration, with a client-side plugin of SAP skills.independent, abapMCP server in ABAP inside the application server, with agent skillsfrom ABAP
- pyrfc-mcppyrfc-mcpAn MCP server for calling an SAP system's RFC-enabled function modules from an agent, built so that discovering a function does not authorise calling it: a read or a write is denied unless the function name matches an allowlist the server is configured with.independent, abapMCP server calling RFC-enabled function modules behind an allowlistfrom ABAP
- ABAP-AI-CODE-TOOLSABAP-AI-CODE-TOOLSAn optional abapGit package that adds create, modify and delete tools to ABAP AI Code, for ABAP programs and classes, with each diff block approved before it is saved.independent, abapabapGit package adding create, modify and delete tools to ABAP AI Codefrom ABAP
- ABAP AI CodeABAP AI CodeAn agentic coding assistant written in ABAP that runs as a SAP GUI report and reads, explains and reviews repository objects inside the system, running an LLM's tool calls as ABAP.independent, abapAgentic coding assistant in ABAP that runs as an SAP GUI reportfrom ABAP
- VERTEXVERTEXAn extension for ABAP Development Tools for Eclipse and VS Code that shows Simple Data Explorer, AVE and ACE in the editor over the developer's ADT connection.independent, abapADT extension for Eclipse and VS Code showing three SAP GUI toolsfrom ABAP
- abap2UI5 Playgroundabap2UI5 PlaygroundABAP in the editor on the left and the abap2UI5 app it builds on the right, both inside one browser tab: the framework is transpiled to JavaScript at build time and the class in the editor is compiled when Run is pressed.community org, abapIn-browser ABAP editor beside the abap2UI5 app it buildsfrom ABAP
- mcp-sap-docsmcp-sap-docsAn MCP server over seventeen cloned SAP documentation repositories — ABAP keyword docs, capire, OpenUI5, Cloud SDK, BTP — searched with BM25 and prebuilt embeddings fused by reciprocal rank fusion.independent, capMCP server searching seventeen SAP documentation repositoriesfrom CAP
- sap-api-hub-mcpsap-api-hub-mcpA read-only MCP server over the SAP Business Accelerator Hub catalogue: categories, search, metadata, resources, specs and packages, reached as the caller's own SAP user.independent, btpRead-only MCP server over the SAP Business Accelerator Hubfrom BTP/BAIP
- sap-note-search-mcpsap-note-search-mcpAn MCP server over SAP Notes and Knowledge Base articles: search finds a note, fetch returns it whole, and a scripted browser does the S-user login the content sits behind.independent, btpMCP server searching and fetching SAP Notes and KBAsfrom BTP/BAIP
- sap-roadmap-mcpsap-roadmap-mcpAn MCP server over SAP Road Map Explorer, so an agent can read what SAP has announced as planned rather than inferring it from a release that has shipped.independent, btpMCP server over SAP Road Map Explorerfrom BTP/BAIP
- ui5-lib-diffui5-lib-diffA hosted app that lists what changed between two SAPUI5 or OpenUI5 versions from the UI5 API's change records, and publishes the same data as static JSON files at fixed paths for tools and agents.independent, ui5Hosted app listing changes between SAPUI5 or OpenUI5 versionsfrom UI5
- abap-docabap-docA Node.js command that reads an ABAP package and its sub-packages over ADT and writes one PDF documenting every object in it, with an LLM writing the prose.independent, abapNode.js command writing PDF documentation for an ABAP packagefrom ABAP
- sap-ai-docs-mcpsap-ai-docs-mcpAn MCP server with semantic search, category filtering and whole-page retrieval over SAP AI Core's documentation, from the SAP-docs/sap-artificial-intelligence repository.independent, btpMCP server with semantic search over SAP AI Core documentationfrom BTP/BAIP
- sap-btp-docs-mcpsap-btp-docs-mcpAn MCP server for semantic search over the SAP BTP documentation repository, filtered by area such as development, administration, integration or security, with full document retrieval.independent, btpMCP server with semantic search over SAP BTP documentationfrom BTP/BAIP
- @sap-ux/fiori-docs-embeddings@sap-ux/fiori-docs-embeddingsFiori documentation indexed as embeddings, which is what makes it searchable by something other than a person scrolling it.sap official, capFiori documentation indexed as embeddingsfrom CAP
- Clean-Core.ioClean-Core.ioA free hosted workspace that reads one piece of custom ABAP, redraws its business process as BPMN with a line anchor on every element, grades the SAP objects it uses Level A–D and ends in a keep, rebuild, move-to-standard or retire decision.independent, abapHosted workspace redrawing custom ABAP as BPMN and grading itfrom ABAP
- abapdocs-code-scannerabapdocs-code-scannerReads the abapDoc comments of a class or interface's public methods and type definitions and returns their text at runtime.independent, abapReads the abapDoc comments of a class or interface's public methods and type definitions and returns their text at runtime.from ABAP
- @ui5/webcomponents-mcp-server@ui5/webcomponents-mcp-serverFour tools that answer an agent's questions about UI5 Web Components from the framework's own documentation — component API, integration guides, and the docs themselves.sap official, ui5MCP server answering questions on UI5 Web Componentsfrom UI5
- vscode-ui5-api-referencevscode-ui5-api-referenceVS Code extension that shows the SAPUI5 and OpenUI5 API reference in a side bar view, with inherited members, member filters and a favourites list, for one framework version at a time.independent, ui5VS Code side bar view of the SAPUI5 and OpenUI5 API referencefrom UI5
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For your agent
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artifact:cap-js-mcp-server- JSON
- /artifacts/cap-js-mcp-server.json
- MCP
- Connecting an agent