GitHub's official MCP Server

mcp server for gitingest

A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API.

MCP server for AI-powered GitHub project management — agent orchestration, PRD-to-issues pipeline, sprint planning, and multi-agent swarm coordination

MCP server for remediating hardcoded secrets using GitGuardian’s API. It detects over 600 secret types and prevents credential leaks before code is made public.

Give any AI agent the ability to code

A lightweight, Git-backed permanent memory for AI agents.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

⏰ Time MCP Server: Giving LLMs Time Awareness Capabilities

Give AI agents safe access to your database.

Turn your team's AI coding sessions, GitHub code, and docs into one shared, searchable memory — a self-hosted git truth store you query right from your editor over MCP.

mcp-language-server gives MCP enabled clients access semantic tools like get definition, references, rename, and diagnostics.

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

One SQL interface for 60+ tools (e.g., GitHub, Notion, Airtable). Plug into any LLM through MCP.

Pre-build reality check for AI coding agents. Scans GitHub, HN, npm, PyPI, Product Hunt. MCP server. 290+ stars.

Local persistent memory store for LLM applications including continue.dev, cursor, claude desktop, github copilot, codex, antigravity, etc.

Context engine for large codebases, exposed through MCP. Gives AI coding agents precise repository context; benchmarked at frontier-agent quality with ~25x lower model cost and 45% fewer tokens with semantic search.

Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.

Zettelkasten-based persistent memory for AI coding agents. Works with Claude Code, Cursor, VS Code Copilot, Codex, Windsurf & any MCP client. No vector DB — just markdown + git sync.

A git-native, review-gated knowledge base for AI agents: they propose writes, you approve them. Every claim cites a source, every change is a diff in your repo. MCP + CLI.

MCP Server for persistent code indexing. Gives AI assistants (Claude, Gemini, Copilot, Cursor) instant access to your codebase. 50x less context than grep.

MCP server for the Live Tennis API — give Claude, Cursor and other LLM agents real-time tennis scores, odds and model win-probability

Git-native persistent memory for AI coding agents. Implements Google OKF v0.2 with sub-300µs in-memory BM25 search, embedded MCP server, and progressive disclosure. Slashes token bloat by 80% with zero external databases or dependencies. Built in pure Go.

🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, lock/deadlock monitoring, autovacuum & schema inspection. No extensions required. PG 12-18.