codebase-context-mcp

codebase-context-mcp

Static codebase analysis as MCP tools — give AI coding agents a map of your repo instead of letting them burn half their tokens rediscovering it file by file.

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codebase-context-mcp

🇰🇷 한국어 README

Static codebase analysis as MCP tools — give AI coding agents a map of your repo instead of letting them burn half their tokens rediscovering it file by file.

One tool call returns: file/module overview, internal import graph, HTTP routes (Express / Fastify / Koa, with file:line), and cross-stack edges — which frontend fetch/axios call hits which backend route.

Why

AI coding agents entering an unfamiliar codebase spend a large share of their context window on grep/read loops just to learn the structure — and repeat it every session. Static analysis answers most of those questions in milliseconds, deterministically, offline. This server packages that as Model Context Protocol tools any MCP client (Claude Code, Cursor, Cline, ...) can call.

Quick start

git clone https://github.com/oh-namgyu/codebase-context-mcp && cd codebase-context-mcp
npm install

# as a CLI
npx codebase-context analyze /path/to/repo            # markdown architecture doc
npx codebase-context analyze /path/to/repo -f mermaid # flowchart
npx codebase-context analyze /path/to/repo -f json    # raw model

# as an MCP server (Claude Code)
claude mcp add codebase-context -- node /path/to/codebase-context-mcp/src/mcp.js

MCP tools

Tool What it answers
analyze_repo "What does this codebase look like?" — full architecture map (markdown or mermaid)
get_routes "What HTTP endpoints exist?" — method, path, file:line, framework
find_api_callers "Who calls this API?" — frontend call sites matched to a route

Example output (this section is real output for a small Express repo):

# Architecture
- Routes: 7
- Cross-stack edges: 2
- Internal import edges: 5

## Routes
- `GET /api/claims` — src/server.js:29 (express)
...
## Cross-stack edges (frontend call → backend route)
- public/app.js:12 → `GET /api/claims` (src/server.js:29)

What it detects (v0.1)

  • Languages: JavaScript / TypeScript / JSX / TSX (Babel parser, error-tolerant)
  • Import graph: ESM import + CJS require, relative specifiers resolved to repo files
  • Routes: Express / Fastify / Koa-router member calls (app.get('/x', ...)) and Fastify's route({method, url}) object form — only in files that actually import those frameworks
  • Call sites: fetch('/x') (incl. template literals → :param) and axios.get('/x')
  • Cross-stack matching: method + path segments, route :params match any segment

Not yet: Next.js/NestJS conventions, non-JS languages, incremental caching. PRs welcome.

Configuration

Env Default
CCM_MAX_FILES 5000 file cap per analysis (guards huge monorepos)

No network access, no telemetry, nothing leaves your machine.

Development

npm test   # analyzer fixtures + render snapshots + CLI e2e + MCP stdio round-trip

MIT — see LICENSE. Security policy: SECURITY.md.

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