GitHub MCP Servers

Superpowers

Empowers AI coding agents with a comprehensive and structured software development workflow, from design refinement to TDD-driven implementation.

OpenSpec

Facilitates spec-driven development to ensure alignment between humans and AI coding assistants before any code is written.

Context7

Fetches up-to-date documentation and code examples for LLMs and AI code editors directly from the source.

GitHub

Enables advanced automation and interaction capabilities with GitHub APIs for developers and tools using the Model Context Protocol.

Beads

Provides a lightweight memory system for coding agents through a graph-based issue tracker.

Claude Context

Enhances AI coding agents by providing semantic code search and deep context from an entire codebase.

Git

Transforms any GitHub project into a documentation hub accessible to AI tools, preventing hallucinations by providing accurate and up-to-date context.

Container Use

Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.

Sourcebot

Index and search code across multiple repositories and branches from various code hosting platforms.

GenAIScript

Programmatically assembles prompts for LLMs using JavaScript to orchestrate LLMs, tools, and data in code.

Agent Mail

Enables coding agents to communicate and coordinate asynchronously, providing a mail-like system with identities, inboxes, and shared context.

Anyquery

Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.

ChunkHound

Transforms codebases into searchable knowledge bases for AI assistants, providing both semantic and regex search capabilities via the Model Context Protocol.

AutoPR

Automates AI-powered workflows directly within your codebase.

AI Prompts

Collects and shares AI prompts, best practices, and curated rules to enhance developer workflows within AI-assisted coding tools.

Code Index

Index, search, and analyze code repositories with large language models using a Model Context Protocol server.

Ollama MCP Bridge

Connects local LLMs (via Ollama) to Model Context Protocol (MCP) servers, allowing open-source models to use external tools.

CodeGraph

Indexes large codebases and queries code graphs with natural language using a high-performance GraphRAG implementation.

Octocode

Leverages AI to provide advanced code search and discovery across GitHub and NPM, understanding connections between repositories and packages.

Acemcp

Provides an MCP server for codebase indexing and semantic search, enabling AI models to understand and interact with project code.