How do I use graphdex?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@graphdex show me the callers of the render function" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

graphdex

by vanshpatil16

Overview Schema Related Servers Score Discussions

Python

Local

graphdex

The code graph that's never stale.

A Python library + CLI + MCP server that maintains an always-correct structural code graph (functions, classes, imports, calls, tests) and serves token-budgeted, confidence-labeled context to AI coding agents.

Status: v0.1 core engine in development — Python parsing, two-pass import-aware resolution, subtoken search, and CLI are implemented; freshness (self-healing reads) and the MCP server land next. Design spec: docs/superpowers/specs/2026-07-17-graphdex-design.md.

Why graphdex

Code-graph tools for AI agents share four recurring weaknesses:

Problem elsewhere	graphdex answer
Stale graphs served as fresh when watchers die	Self-healing reads — every query dirty-checks the working tree and repairs the graph inline; every response carries a `freshness` field
Cross-file calls matched by bare name (false blast radii)	Import-aware two-pass resolution with per-edge confidence tiers (`RESOLVED` / `IMPORT_INFERRED` / `NAME_ONLY`) and `min_confidence` filtering
30 MCP tools taxing every agent request	8 consolidated tools that return source snippets inline within a `token_budget`
Search that only sees exact identifier names	Subtoken FTS5 indexing — `getUserById` matches "user by id"

Related MCP server: RepoMap

Planned surfaces (v1)

Library: from graphdex import Graphdex; gd = Graphdex("."); gd.callers_of("login")
CLI: graphdex build | status | search | impact | serve
MCP: graphdex serve (stdio) — works with Claude Code, Cursor, Codex, and any MCP client

v1 languages: Python, TypeScript, JavaScript (+JSX/TSX), Go, Rust, Java.

Credits

Clean-room implementation inspired by the excellent code-review-graph (MIT) — our analysis of its trade-offs shaped this design. No code is copied from it.

License

MIT

This server cannot be installed

license - permissive license

quality - not tested

maintenance

How are these scores calculated?

Maintenance

–Maintainers

–Response time

–Release cycle

–Releases (12mo)

Commit activity

Resources

GitHub Repository

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