"How to create GitHub projects, milestones, and issues" matching MCP servers:

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Helps support engineers find similar GitHub issues to speed up troubleshooting by searching repositories and calculating similarity scores based on issue descriptions.

Enables searching and retrieving GitHub portfolio repositories and their READMEs through natural language.

MCP server that searches, scores, and ranks GitHub developers for technical recruiting.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

A MCP server that provides access to GitHub trending repositories and developers data through a simple API interface.

A remote MCP server that gives MCP clients authenticated access to GitHub: repos, issues, pull requests, file contents, and search, over a proper OAuth 2.1 handshake. Runs on Cloudflare Workers.

Enables LLMs to query documents using semantic search, supporting PDFs, Word, Excel, and more. Organizes documents by topics from folder structure and provides advanced search features like phrase matching and date filtering.

Enables AI agents to search and retrieve context from GitHub issues, pull requests, releases, and documentation using hybrid semantic search and time-ordered activity scans.

A Model Context Protocol (MCP) server for GitHub operations. It enables AI assistants to interact with GitHub repositories through a standardized interface.

Provides efficient bulk analysis of GitHub issues and pull requests with 90%+ smaller responses than full GitHub API by returning only essential fields (id, url, title, body, comments).

Provides integration with Github through the Model Context Protocol (MCP), allowing Large Language Models to interact with Github's repositories, issues, pull requests and search functionality.

Provides GitHub open-source intelligence via MCP tools for discovering trends, evaluating repository health, comparing projects, and analyzing users, issues, and releases. It includes a CLI and can be used with AI assistants like Claude or Cursor.

Enables querying Rick and Morty characters, locations, and episodes using the Rick and Morty API with no authentication required.

A production-grade GitHub repository finder that helps LLMs discover best repositories with advanced search, ranking, and token optimization.

A Cloudflare Worker that transforms Cloudflare AI Search (AutoRAG) instances into an MCP server for querying documentation. It enables AI models to search and retrieve relevant information from custom document sets stored in R2 buckets.

Enables access to GitHub repositories and data through the GitHub API. Supports retrieving repositories, issues, pull requests, and searching code across GitHub with authentication via personal access tokens.

A read-only MCP server that exposes GitHub user profiles, repository info, and search via tools for AI assistants like Claude.

Enables natural language queries to search GitHub for trending repositories by topic, summarize project READMEs, and compare multiple repos to uncover ecosystem patterns.

GitHub Repo Helper is a simple and beginner-friendly Model Context Protocol (MCP) server that takes a GitHub repository URL and returns a structured summary of the repo. It fetches metadata such as the repository name, description, languages used, README content (summarized), and dependency info