CodeGraphContext- the go to solution for graph-code indexing 🎉🎉… It’s an MCP server that understands a codebase as a graph , not chunks of text. Now has grown way beyond my expectations - both technically and in adoption. Where it is now v0.4.0 released ~ 3k GitHub stars , 500+ forks 50k+ downloads 75+ contributors, ~250 members community Used and praised by many devs building MCP tooling, agents, and IDE workflows Expanded to 15 different Coding languages What it actually does CodeGraphContext indexes a repo into a repository-scoped symbol-level graph : files, functions, classes, calls, imports, inheritance and serves precise, relationship-aware context to AI tools via MCP. That means: - Fast “who calls what”, “who inherits what”, etc queries - Minimal context (no token spam) - Real-time updates as code changes - Graph storage stays in MBs, not GBs It’s infrastructure for code understanding , not just ‘grep’ search. Ecosystem adoption It’s now listed or used across: PulseMCP, MCPMarket, MCPHunt, Awesome MCP Servers, Glama, Skywork, Playbooks, Stacker News, and many more. Python package→ https://pypi.org/project/codegraphcontext/ Website + cookbook → https://codegraphcontext.vercel.app/ GitHub Repo → https://github.com/CodeGraphContext/CodeGraphContext Docs → https://codegraphcontext.github.io/ Our Discord Server → https://discord.gg/dR4QY32uYQ This isn’t a VS Code trick or a RAG wrapper- it’s meant to sit between large repositories and humans/AI systems as shared infrastructure. Happy to hear feedback, skepticism, comparisons, or ideas from folks building MCP servers or dev tooling. Original post (for context): https://www.reddit.com/r/mcp/comments/1o22gc5/i_built_codegraphcontext_an_mcp_server_that/ submitted by /u/Desperate-Ad-9679
Originally posted by u/Desperate-Ad-9679 on r/ArtificialInteligence