GitHub Repository Analytics MCP Server by nexgendata

Connect AI agents to structured GitHub repository data through the Model Context Protocol. This MCP server gives LLM-powered applications direct access to GitHub repository tools, returning clean JSON that agents can reason about and act on.

What This MCP Server Does

This MCP (Model Context Protocol) server exposes GitHub repository data tools that AI assistants like Claude, ChatGPT, and custom LLM agents can call directly. Instead of building API integrations or writing scraping code, any MCP-compatible AI system can access structured GitHub repository data through natural language requests. The server handles authentication, rate limiting, data extraction, and response formatting automatically.

Who Uses This

AI developers building agents that need access to GitHub repository data. Companies integrating real-time data into their LLM-powered products. Research teams using AI assistants for automated data gathering. Automation platforms connecting AI agents to structured data sources. Anyone building on top of the Model Context Protocol ecosystem.

How It Works

Deploy this MCP server on Apify and connect it to any MCP-compatible client. The server exposes a set of tools that accept structured parameters and return clean JSON responses. AI agents can discover available tools, understand their parameters, and call them as part of multi-step reasoning chains. The server runs on Apify infrastructure with built-in proxy support, caching, and error handling.

Available Tools

The server provides tools for analyzing repository metrics, tracking star/fork growth, monitoring issue trends, and evaluating contributor activity. Each tool accepts specific parameters, handles the underlying data extraction, and returns structured JSON that AI agents can parse and reason about. Tools are designed to be composable so agents can chain multiple calls together for complex data gathering workflows.

Pricing

This MCP server uses pay-per-event pricing. Each tool call that returns data counts as one event. Pricing is consistent with the underlying data actors at $3 per 1,000 events, making it cost-effective to integrate into production AI agent workflows.

Getting Started

Deploy the MCP server from the Apify Store. Configure your MCP client (Claude Desktop, custom agent, etc.) with the server endpoint URL. The server auto-discovers available tools and exposes them to your AI system. No additional configuration needed.

FAQ

Is this compatible with Claude Desktop? Yes. Any MCP-compatible client can connect to this server, including Claude Desktop, custom LLM agents, and automation platforms that support the Model Context Protocol.

Do I need separate API keys? No. The server handles all data access internally through Apify infrastructure. You only need your Apify API token to deploy and connect.

Can I use this in production? Yes. The server runs on Apify's scalable infrastructure with built-in monitoring, logging, and error handling suitable for production workloads.

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💻 Code Example — Python

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("nexgendata/github-mcp-server").call(run_input={
    # Fill in the input shape from the actor's input_schema
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

🌐 Code Example — cURL

curl -X POST "https://api.apify.com/v2/acts/nexgendata~github-mcp-server/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{ /* input schema */ }'

❓ FAQ

Q: How do I get started? Sign up at apify.com, grab your API token from Settings → Integrations, and run the actor via the Apify console, API, Python SDK, or any integration (Zapier, Make.com, n8n).

Q: What's the typical cost per run? See the pricing section below. Most runs finish under $0.10 for typical batches.

Q: Is this actor maintained? Yes. NexGenData maintains 165+ Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get responses within 24 hours.

Q: Can I use the output commercially? Yes — you own the output data. Check the target site's Terms of Service for any usage restrictions on the scraped content itself.

Q: How do I handle rate limits? Apify manages concurrency and retries automatically. For very large batches (10K+ items), run multiple smaller jobs in parallel instead of one mega-job for better reliability.

💰 Pricing

Pay-per-event pricing — you only pay for what you actually extract.

• Actor Start: $0.0001
• result: $0.0020

🔗 Related NexGenData Actors

• RAG Web Browser
• AI Web Scraper
• Hacker News Scraper

🚀 Apify Affiliate Program

New to Apify? Sign up with our referral link — you get free platform credits on signup, and you help fund the maintenance of this actor fleet.

📚 More From NexGenData

Explore the full catalog, tutorials, Gumroad data packs, and newsletter at thenextgennexus.com — the brand home for everything we ship.

• 📖 Tutorials & how-to guides
• 🗂️ Full actor catalog with usage examples
• 📦 Gumroad data packs (one-time purchases)
• 📬 Newsletter — monthly drops of new actors and revenue experiments

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Built and maintained by NexGenData — 165+ actors covering scraping, enrichment, MCP servers, and automation. 🏠 Home: thenextgennexus.com

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Why GitHub MCP Beats GitHub's Own MCP, Octokit Custom, SourceGraph & Generic LLMs

Feature	NexGenData GitHub MCP	GitHub Official MCP	Octokit / GraphQL custom	SourceGraph	Generic LLM (no tools)
Cost	$0.002 / event, pay-per-event	Free (auth required, rate-limited)	Self-build infra cost	$99+ / user / month	Free (stale training data)
MCP-native	Yes	Yes	No	No	No tools
No GitHub PAT required for public data	Yes — Apify proxy pool	No — PAT required	PAT required	PAT + integration	N/A
Repo metadata + stars + commits	Yes	Yes	Yes (build it)	Yes	Hallucinated
Issues + PRs + reviews	Yes	Yes	Yes (build it)	Yes	None
Cross-repo trend analytics	Yes	Limited	Build it yourself	Plan-gated	None
Auth	Apify token (PAT optional)	GitHub PAT required	GitHub PAT	SourceGraph license	None
Monthly minimum	None	None (but PAT-rate-capped)	Infra cost	$99+ / user	None

Most teams pick this MCP server because it works without a GitHub PAT for public repo intelligence (the official server requires one and inherits the 5k-req/hour rate cap), is cheaper than SourceGraph for ad-hoc agent traffic, and is a true drop-in alternative to building your own Octokit wrapper. A DevRel agent answers "what's trending in the Rust ecosystem this week?" with live data instead of training-cutoff stale results.

Related NexGenData MCP Servers & Developer-Tools Actors

Use case	Actor
Developer tools MCP (NPM, PyPI, Stack Overflow)	developer-tools-mcp-server
Web-scraping MCP (any URL, AI agents)	web-scraping-mcp-server
SEO & web analysis MCP	seo-web-analysis-mcp-server
Domain intelligence MCP	domain-intelligence-mcp-server
News MCP (Hacker News + tech press)	news-mcp-server
Reddit MCP (r/programming, r/MachineLearning)	reddit-mcp-server
YouTube / media MCP (DevRel videos)	youtube-media-mcp-server
Academic research MCP (arxiv + papers)	academic-research-mcp-server
26-server gateway (GitHub + 25 more)	enterprise-mcp-gateway
AI web scraper (LLM-formatted output)	ai-web-scraper

Browse the full NexGenData catalog of 260+ actors at https://apify.com/nexgendata?fpr=2ayu9b