context
16 servers · 1,637★ total
Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI
Enable any LLM (e.g. Claude) to interactively debug any language for you via MCP and a VS Code Extension
Model Context Protocol (MCP) server for container runtimes (Podman and Docker)
Codebase context compiler for AI agents. Graph-ranked, token-budgeted, tier-compressed output. Smarter than the existing ones.
Data Wiki turns data into portable knowledge bundles following Open Knowledge Format (OKF) and serves them to AI agents over the Model Context Protocol (MCP).
FAF specification — IANA-registered AI context format (application/vnd.faf+yaml)
🚀 Discover and explore a curated list of MCP servers, tools, and resources for AI assistants, enhancing your development and productivity.
Local-first MCP server that saves & recalls your AI context in storage you own — files, Dropbox, or Google Drive.
MCP-compatible context and memory system: paged code navigation for AI assistants, plus a recorded, verified theory of what is known about the code.
Agentic gateway providing persistent LLM memory via a markdown wiki. Open-source core of Kortexio.
🪱 MCP Context Template is a repository designed to centrally manage AI tools (MCP) to reduce context sharing costs and improve development productivity.
Local, explainable context compiler for AI coding agents. Analyze → plan → emit optimal context — with why/doctor diagnostics. No embeddings, no server.
Local-first MCP server that snapshots your project's working state into one context object. Open-core, privacy-first.
Chrome Extension for .faf — extract AI context from any GitHub repository. Approved in Chrome Web Store