GitHub MCP Server

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A".

If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows.

A Model Context Protocol server that gives AI agents GitHub repository data — search, stats, languages and comparison — as callable tools. For dev-research and OSS-analysis agents.

- compare_repos— Compare two repositories.
- get_repo_languages— Language breakdown for a repository.
- get_repo_stats— Stars, forks and activity stats.
- search_repos— Search GitHub repositories.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{ "mcpServers": { "github": { "url": "https://nexgendata--github-mcp-server.apify.actor/mcp" } } }

Compare two frameworks' repos on stars, activity and language breakdown.

Pricing:$0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

Related NexGenData MCP servers & developer-tools actors

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '<YOUR_API_TOKEN>' with your token const client = new ApifyClient({ token: '<YOUR_API_TOKEN>', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("nexgendata/github-mcp-server").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '<YOUR_API_TOKEN>' with your token. client = ApifyClient("<YOUR_API_TOKEN>") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("nexgendata/github-mcp-server").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

echo '{}' | apify call nexgendata/github-mcp-server --silent --output-dataset

{ "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,nexgendata/github-mcp-server" } } }

This is a web browser that enables your coding agent, such as Claude Code, to visit websites on your behalf and assist you in identifying bugs or creating UI test cases.

Interact with GitHub repositories, including issues, pull requests, commits, releases, and actions.

Provides tools for mapping and analyzing GitHub repositories using a Personal Access Token for authentication.

Integrates with GitHub, allowing LLMs to interact with repositories, issues, and pull requests via the GitHub API.

Interact with GitHub repositories, issues, pull requests, and more. Requires a GitHub personal access token.

Interact with the GitHub API to create and manage repositories, including setting descriptions, topics, and website URLs.

An MCP server for interacting with GitHub, allowing you to manage repositories, issues, and pull requests.

A production-ready MCP server that connects any MCP-compatible AI agent to the GitHub API. Manage repositories, issues, pull requests, and search — all through natural language.

Interact with the GitHub API using PyGithub to manage repositories, issues, and pull requests.

Model Context Protocol (MCP) server for GitLab — exposes 1006 GitLab REST & GraphQL API operations as MCP tools (28 meta-tools / 43 enterprise), 24 resources, 38 prompts, and 17 completion types for AI assistants. Written in Go, single static binary, stdio and HTTP transport.