Cap Js MCP

Name: Cap Js MCP
Author: cap-js

by cap-jsversion 0.1.0i★ –iRuns on your computer

Registry nameio.github.cap-js/mcp-server

Install

Overview

Description from the maker (original English)

Model Context Protocol (MCP) server for AI-assisted development of CAP applications.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cap-js": {
      "command": "npx",
      "args": [
        "-y",
        "@cap-js/mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add cap-js -- npx -y @cap-js/mcp-server

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cap-js": {
      "command": "npx",
      "args": [
        "-y",
        "@cap-js/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cap-js": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@cap-js/mcp-server"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account cap-js, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32466 servers in this category
Published to the registry more recently than 76% of the other 32466 servers in this category
Basic checks equal to or better than 100% of the other 32466 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cap Js MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, HotCodePush

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Welcome 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?_

About This Project
Requirements
Setup
Usage in VS Code
Usage in Claude Code
Usage in OpenAI Codex
Usage in opencode
CLI Usage
Environment Variables
Available Tools
search_model
search_docs
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

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.json file 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

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

[!WARNING]

The following environment variables are still experimental.

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`.
`CDS_MCP_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, npx uses the installed version instead of downloading the latest from npm. You must update the package manually:

`sh

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.

Cap Js MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

HotCodePush

README from the maker

Welcome to @cap-js/mcp-server

About This Project

Table of Contents

Requirements

Setup

Usage in Claude Code

Usage in VS Code

Usage in OpenAI Codex

Usage in opencode

Environment Variables

Rules

CLI Usage

Search for CDS model definitions

Available Tools

search_docs

search_model

Support, Feedback, Contributing

Security / Disclosure

Code of Conduct

Licensing

Acknowledgments

`search_docs`

`search_model`