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GitHub Repository Intelligence

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

Repo intel for AI coding agents: overview, PRs, contributors, hot files, CI, deps. Remote MCP.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "github-repository-intelligence": {
      "command": "npx",
      "args": [
        "-y",
        "github-repository-intelligence"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

GitHub Repository Intelligence MCP Server

A hosted Model Context Protocol server that gives AI coding agents structured intelligence about any GitHub repository β€” overview, recent PRs, contributors, hot files, CI status, and dependencies β€” 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 β€” 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 β€” when this saves you time

This ActorLocal MCP server
SetupPaste URL + token into client configgit clone, install deps, manage Node/Python versions
DistributionSame URL works for every teammateEach teammate sets up their own
UpdatesAlways latest server buildYou patch + redeploy
Auth surfaceOne Apify token + optional GitHub PAT in tool argsGitHub PAT lives on every machine
Cost when idle$0 (Standby mode, billed per call)Whatever your laptop/server costs
When local winsAir-gapped repos, on-prem GitHub Enterpriseβ€”

Three workflows it shortens

  1. Repo onboarding β€” 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 β€” before reviewing a stranger's PR, run get_contributors + list_recent_prs + get_hot_files on the target repo to know who you're dealing with and where the churn actually lives.
  3. Dependency / supply-chain audit β€” 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

ToolWhat it returnsTypical use
get_repo_overviewStars, forks, language, license, topics, last push"Is this repo still maintained?"
list_recent_prsRecent PRs with author, state, merge dates"Show me the last 20 merged PRs by user X"
get_contributorsTop contributors by commit count"Who maintains this project?"
get_hot_filesMost-modified files over the last N commits"Where's the churn?"
get_ci_statusCheck runs and conclusions for a ref"Is the default branch green?"
get_dependenciesParses package.json, requirements.txt, go.mod, Cargo.toml, pyproject.toml"What does this project depend on?"

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 β€” 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:

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

Authentication uses your Apify token via the Authorization: Bearer <APIFY_TOKEN> header β€” most MCP clients let you configure this in their server config.

Example tool call (raw JSON-RPC)

Terminal
curl -X POST https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp \
  -H "Authorization: Bearer <APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{
    "jsonrpc": "2.0",
    "id": 1,
    "method": "tools/call",
    "params": {
      "name": "get_repo_overview",
      "arguments": {"owner": "facebook", "repo": "react"}
    }
  }'

From Claude Desktop config

config.json
{
  "mcpServers": {
    "github-repo-intel": {
      "url": "https://cg-nguyen--github-repo-intel-mcp.apify.actor/mcp",
      "headers": {
        "Authorization": "Bearer <APIFY_TOKEN>"
      }
    }
  }
}

Limits and caveats

  • Free tier on Apify gets you $5/month of usage credits β€” enough for ~1,000 free tool calls before the per-event price kicks in.
  • The get_hot_files tool scans up to 200 commits and makes one API call per commit, so it eats GitHub rate limit the fastest. Pass a github_token if you call it often.
  • get_ci_status reads the GitHub Checks API β€” it surfaces GitHub Actions, CodeQL, and any third-party check that posts back via the Checks API. Repos that run their CI entirely on external systems (Prow, Buildkite, CircleCI without GitHub integration) may show 0 check runs even when the build is green. The response includes a note field flagging this case.
  • This is a read-only server. It cannot create PRs, comment on issues, or modify any repository state.
  • All data comes straight from the GitHub REST API β€” no caching layer, so freshness equals what the GitHub API returns.

Source & roadmap

Author: luongnp. Open to feature requests β€” file an issue on the Actor page if you want a tool added (issues board, releases, dependency vulnerabilities via Dependabot API, etc.).

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about GitHub Repository Intelligence

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "github-repository-intelligence": { "command": "npx", "args": ["-y", "GitHub Repository Intelligence"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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