"A tool for parsing specified GitHub repositories" matching MCP servers:

Enables managing GitHub repositories, files, and user information through MCP, with support for creating, updating, and deleting repository contents, as well as fetching user profiles.

Enables users to read and manage GitHub repositories through MCP, with destructive operations gated behind explicit confirmation and dry-run previews.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

Semantic navigator for MCP tools that finds relevant tools by natural language intent, reducing token usage by 95%.

A web application for securely managing GitHub tokens and providing centralized access to various development tools integrated with GitHub accounts.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

MCP router that fronts your other MCP servers behind a few small generic tools, so their tool definitions stay out of the context window and are discovered on demand.

Enables coding agents to read and modify GitHub issues, project boards, pull requests, repositories, releases, and Actions through configurable toolsets, with read-only and write-confirmation controls.

An MCP server that enables AI assistants to interact with GitHub via a fine-grained personal access token — pushing commits, managing branches, opening and merging PRs, creating issues, and reading repositories. It runs locally with no telemetry and supports a read-only mode.

MCP server for AI agents to securely access GitHub data, including listing repositories and user profile info via the GitHub API.

Enables AI coding agents to read GitHub repositories, files, commits, issues, pull requests, releases, Actions, and search results through 18 read-only MCP tools. It reuses existing credentials, routes around unreliable networks, and caches responses on disk to stay within rate limits.

Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.

A tool discovery MCP server that integrates with Azure DevOps wikis and code-graph-rag to match natural language goals to tools, enabling tool composition and proxy testing.

Enables AI agents to interact with GitHub repositories through the GitHub REST API for managing files, issues, and repository metadata. It supports both read operations like searching code and write operations such as creating repositories and updating issue comments.

Simple MCP server for GitHub operations, currently supports creating repositories.

A production-grade MCP server that connects Claude Desktop to GitHub, offering deterministic analytics on developers, repositories, issues, and pull requests through natural language.

A comprehensive MCP server that exposes 73 GitHub API tools for managing repositories, pull requests, issues, actions, releases, search, and more, enabling natural language control of GitHub.

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.

Enables AI assistants to directly operate GitHub repositories, such as listing issues, through the Model Context Protocol.

A server built on mcp-framework that enables integration with Claude Desktop through the Model Context Protocol.

GitHub's official MCP Server

Enables remote access to GitHub REST and GraphQL APIs via dynamically generated and universal tools, with support for Actions log retrieval, schema introspection, and read-only Git clone/fetch.

Enables interacting with GitHub repositories for pull requests, code, and reviews through natural language.

Provides a 'reflect' tool that creates cognitive checkpoints for AI assistants, forcing structured step-by-step reasoning through complex problems to improve accuracy and maintain context during task execution.

Provides a unified MCP server to interact with multiple middleware (Loki, MySQL, Redis, RocketMQ, Elasticsearch, MongoDB) through a desktop application for connection management and configuration export.

Read-only GitHub MCP server that lets assistants search and read repositories, issues, pull requests, commits, and file contents, scoped to the user's personal access token.

Turns any OpenAPI spec into a single-tool MCP server where the model writes JavaScript against a typed api object in a QuickJS sandbox, so multi-step tasks run in one round trip and only the final result reaches context. Credentials, rate limiting, retries, write gating and audit logging stay on the host, outside the sandbox.

Enables AI assistants to interact with GitHub repositories, issues, pull requests, and content via the Model Context Protocol.

Enables converting documents between formats over MCP: any supported input (docx, odt, xlsx, ods, pptx, odp, pdf) to structured Markdown, Markdown to docx, odt or pdf, direct cross-format pairs, and Markdown to sanitised HTML. Fidelity losses are reported rather than failing the conversion.

Lets MCP-compatible clients answer natural-language questions about your GitHub activity, such as counting today's commits across all your repositories via the GitHub REST API.