"How to scrape websites and format content in GitHub Markdown" matching MCP servers:

Call OpenAI Codex from Claude Code for independent second opinions, structured code review, and delegated coding tasks through a FastMCP plugin that drives the codex CLI safely.

MCP server exposing GitHub tools for issues, pull requests, and code browsing via the GitHub REST API. Designed for local LLM clients with flat arguments and streamable HTTP support.

Enables self-hosted, read-only remote interaction with GitHub repositories, allowing listing repositories, searching code, and inspecting commits, pull requests, issues, and diffs via authenticated MCP clients.

Enables AI agents to search repositories, inspect files and code, list issues and commits, check releases, and look up GitHub user profiles through the GitHub public REST API without authentication.

Provides access to markdown documentation for local NPM, Go, and PyPi packages as MCP resources or tools. It enables informed code generation by surfacing documentation directly from a project's working directory.

Provides four GitHub superpowers (repo-scorecard, compare-repos, commit-heatmap, trending-mcp) as MCP tools with React widgets for repository health analysis, comparison, commit activity visualization, and trending MCP servers.

Enables natural-language analysis of GitHub repositories by exposing repository metadata, source code retrieval, search, and file reading as MCP tools, with answers grounded in the actual repository content.

A Model Context Protocol server that connects GitHub code to Claude.ai. This server utilizes the Pera1 service to extract code from GitHub repositories and provide better context to Claude.

Enables AI agents to analyze public GitHub repositories directly through tools for repo health scoring, recent commit summaries, good first issue discovery, and semantic Q&A over docs and issues.

A server that validates GitHub repositories against configurable rules for React applications, enabling structure, configuration, dependency, and naming checks.

Enables read access to GitHub source code, including code search, file contents, symbols, and Java-aware fragment extraction, with optional per-call repository overrides.

An MCP server that enables analyzing and querying GitHub repositories through the GitHub Chat API, allowing users to index repositories and ask questions about their code, architecture and tech stack.

MCP server that exposes GitHub operations as tools for AI agents, enabling code search, issue management, and PR review.

Provides tools for mapping and analyzing GitHub repositories. It allows users to set a GitHub Personal Access Token and retrieve detailed information about a specified repository, including its structure and summary statistics.

MCP server that enables LLMs to search GitHub, clone repositories, and perform read-only git/GitHub operations such as listing branches, commits, issues, and pull requests.

A lightweight MCP server for bringing GitHub repositories into context for large language models, enabling repository analysis, file access, and search without local cloning.

MCP server for fetching GitHub repository files and directory trees, supporting raw file content, unix-style directory trees, and enhanced trees with file sizes, depth limits, and filters.

Enables LLM hosts to perform scoped GitHub operations over stdio, including repository intelligence, pull request lifecycle and diff inspection, and commit history queries. It exposes 12 FastMCP tools backed by PyGithub for repository, PR, and commit workflows.

Enables AI-powered GitHub interactions including repository analysis, code search, PR reviews, and more through the MCP protocol.

Enables AI assistants to query GitHub repository data through read-only tools, including repo metadata, issues, pull requests, commit statuses, PR diffs, and recent commits. Works with any MCP-compatible client over stdio or Streamable HTTP.

Combines GitHub repository analysis, npm/PyPI package info, and deps.dev security advisories into a single MCP server, requiring no API keys.

Enables Claude Desktop to analyze repositories, fetch and create issues, inspect pull request diffs, and comment on pull requests through the GitHub API using natural-language commands.

A runtime-free MCP server that converts source code into AST🌲, regardless of language.

Enables AI assistants to analyze GitHub repository structures and read file contents with features like directory traversal, file type analysis, syntax highlighting, and code pattern detection. Supports both public and private repositories through GitHub API integration.

Enables Claude to analyze GitHub repositories with tools for health scoring, contributor analysis, issue tracking, code search, and more.

Enables automated GitHub Pull Request reviews using local Ollama, Cursor CLI, or Gemini CLI as AI providers. Supports customizable review prompts, comprehensive PR analysis, and optional auto-posting of reviews to GitHub.

Enables GitHub repository analysis including health score, comparison, commit heatmap, and trending MCP servers, with interactive widgets.

Stateless Streamable HTTP MCP server exposing 5 GitHub tools (user info, repository metadata, file contents, issue listing, and issue creation) with token-based authentication required only for tool calls.

Turns GitHub repository history into a cited maintainer skill for coding agents, providing tools to collect evidence, query the knowledge graph, and inspect bundles.

Enables Claude to analyze any public GitHub repository through typed, focused tools that surface metadata, README content, file structure, detected tech stack, and Mermaid architecture diagrams. It lets users explore repo purpose, structure, and dependencies via natural language without manual browsing.