"How to create pull requests on GitHub" matching MCP servers:

Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.

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.

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.

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.

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.

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.

Organizes, categorizes, and syncs GitHub starred repositories with AI agents, enabling offline conceptual search, health auditing, and tech-stack recommendations.

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

Retrieves historical pull request context from GitHub repositories and provides it to IDE agents for reasoning, review, and code generation without modifying files.

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.

A production-grade MCP server that provides LLMs with safe, structured, tool-based access to GitHub repositories, including issue management, semantic search, and guarded write operations.

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.

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.