Documentation generators and MCP documentation servers that make project docs easier for AI agents to read and reuse.
Use this collection when documentation should work for both humans and coding agents without becoming stale or scattered.
Official MCP reference servers from Anthropic. Includes servers for filesystem, GitHub, Postgres, Slack, and more.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
Local codebase intelligence CLI and MCP server for AI coding agents with change-safety gates and audit evidence.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
An offline MCP server that indexes your codebase for semantic search, code search, and git history retrieval.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
Claude Code skill for improving website AEO (AI Engine Optimization) and GEO (Generative Engine Optimization) scores — 16 foundational checks, 6 intelligence dimensions, framework-specific fixes
Helps turn docs, markdown, or repository knowledge into agent-readable context.
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
A local binary that compresses, remembers, routes, and verifies every token between your code and AI models, saving up to 99% of tokens.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
A fast Rust tool to serialize text files in a repo for LLM consumption.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
A secure REST API and MCP server for Obsidian vaults, enabling CRUD, search, and command execution.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
A production-ready MCP server with 252 tools for AI-powered reverse engineering using Ghidra.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
Codebase intelligence layer for AI coding agents: code health, git analytics, dead code detection, and architectural decisions via MCP.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
A unified hub for centrally managing and dynamically orchestrating multiple MCP servers into separate endpoints with flexible routing strategies.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
An MCP server that turns natural language into structured development tasks with persistent memory and chain-of-thought workflows for AI agents.
Helps turn docs, markdown, or repository knowledge into agent-readable context.
