Repocrunch MCP Server

@kimwwk

Repository Homepage

Basic information

About Repocrunch MCP Server

Deterministic analyzer that turns GitHub repos into structured JSON

#github #code-analysis #developer-tools #repository

Repocrunch MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "repocrunch": {
      "command": "repocrunch",
      "args": [
        "mcp"
      ]
    }
  }
}

Repocrunch MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Repocrunch?

Repocrunch analyzes any public GitHub repository into structured JSON. It returns tech stack, dependencies, architecture, health metrics, and security signals in clean, consistent JSON — with no AI or LLMs, fully deterministic. It can be used as a Python library, CLI tool, REST API, or MCP server, and is aimed at developers who need repository data programmatically.

How to use Repocrunch?

Install via pip: pip install repocrunch (requires Python 3.11+). Then use the CLI: repocrunch analyze owner/repo --pretty or start the MCP server with repocrunch mcp. Optionally set a GitHub token via export GITHUB_TOKEN=... for higher rate limits and private repo access. Use the Python library with from repocrunch import analyze or the REST API by running repocrunch serve.

Key features of Repocrunch

Analyzes any public GitHub repository into structured JSON
Detects tech stack, dependencies, architecture, health, and security
Provides a CLI, Python library, REST API, and MCP server
Fully deterministic — no AI or LLM involved
Supports 40+ frameworks across multiple ecosystems
Optional GitHub token raises API limit to 5,000 calls/hour

Use cases of Repocrunch

Quickly inspect a repository’s tech stack and dependencies before contributing
Audit repository health and security signals for open-source dependency decisions
Automate repository metadata extraction in CI/CD pipelines or internal tools
Integrate repository analysis into AI assistants via the MCP server (Claude, Cursor)
Compare multiple repositories programmatically using the Python library or CLI

Frequently asked questions

What runtime does Repocrunch require?

Repocrunch requires Python 3.11 or higher. It can be installed via pip or uv, and runs on any platform that supports Python.

Does Repocrunch use AI or LLMs?

No. Repocrunch is fully deterministic and does not rely on any AI or large language models. It analyzes repository structure and metadata algorithmically.

How does Repocrunch access repository data?

It uses the GitHub API to fetch repository information. By default, without a GitHub token, you get 60 API calls per hour. Setting a token raises the limit to 5,000 per hour and also allows analysis of private repositories you have access to.

What data does Repocrunch detect?

It detects summary (stars, forks, license), tech stack (runtime, framework, package manager, dependencies), architecture (monorepo, Docker, CI/CD), health (commit frequency, contributors, issues), and security signals (env file, Dependabot, branch protection, security policy). Supported ecosystems include JavaScript/TypeScript, Python, Rust, Go, Java/Kotlin, Ruby, and C/C++.

How do I run Repocrunch as an MCP server?

Run `repocrunch mcp` to start the MCP server over STDIO transport. This allows integration with MCP clients such as Claude Desktop and Cursor. For REST API, use `repocrunch serve` and access endpoints like `/analyze?repo=owner/repo`.

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