GitHub Repository Intelligence MCP server

GitHub Repository Intelligence MCP Server

A hosted Model Context Protocol server that gives AI coding agents structured intelligence about any GitHub repository — overview, recent PRs, contributors, hot files, CI status, and dependencies — through a single MCP endpoint.

No local setup. No git clone. No Octokit boilerplate. Plug your agent into the MCP URL and start asking questions.

Why this exists

Local GitHub MCP servers exist, but they require every user to set up Node/Python, install the server, manage tokens, and keep it patched. This Actor runs on Apify's platform and is reachable as a hosted streamable-HTTP MCP endpoint — your agent just needs the URL.

It's useful when you want an LLM to reason about a codebase without giving it filesystem or shell access: think code-review bots, repo-onboarding helpers, dependency-audit agents, refactor planners.

Hosted vs local — when this saves you time

Three workflows it shortens

1. Repo onboarding — drop the URL into Claude Code, ask "give me a one-page brief on kubernetes/kubernetes: maintainers, top 10 hot files, current PR pipeline, CI health." One conversation, six tool calls, no clones.
2. PR-review prep — before reviewing a stranger's PR, run getcontributors + listrecentprs + gethot_files on the target repo to know who you're dealing with and where the churn actually lives.
3. Dependency / supply-chain audit — get_dependencies across a list of repos in a loop, no shell access required, no risk of malicious npm install running on your machine.

Tools exposed

Every tool accepts an optional github_token parameter. With no token you get GitHub's 60-req/hour limit on public repos. Provide a fine-grained PAT and you get 5,000 req/hour and can access private repos.

Pricing

$0.005 per tool call. First 100 calls free per user.

Pay-per-event model — you only pay when a tool actually executes. No subscription, no minimums. The server runs in Apify Standby mode, so you're not billed for idle time.

Usage

From an MCP-aware client (Claude Desktop, Cursor, Continue, etc.)

The Actor exposes a Streamable-HTTP MCP transport at:

https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp

Authentication uses your Apify token via the Authorization: Bearer header — most MCP clients let you configure this in their server config.

Example tool call (raw JSON-RPC)

Shortened. The full README is on GitHub.