cxpak indexes your codebase using tree-sitter across 43 languages, builds a typed dependency graph, and produces token-budgeted context bundles that
cxpak indexes your codebase using tree-sitter across 43 languages, builds a typed dependency graph, and produces token-budgeted context bundles that give LLMs a briefing packet instead of a flashlight in a dark room. It understands your. Exposed over MCP by the cxpak mcp server, that capability becomes something an assistant can invoke while it works, not something you go and do afterwards.
Everything the assistant can do here goes through one of these:
Usage — The container runs as a non-root user; the embedding model weights (~30 MB, downloaded on first use) live under /home/cxpak/.cxpak — mount a namedIntelligence — The Intelligence tool exposed by this serverConventions — Extracts a quantified convention profile from what your team actually does: naming, imports, error handling, dependencies, testing, visibilityOnboarding — Generates a dependency-ordered reading guide: files topologically sorted, grouped into phases by module, ordered by PageRank. Each file lists keyBeing a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
This sits in the AI and media services group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. Cxpak's toolset — Usage, Intelligence, Conventions and 1 more — is a fair guide to whether it matches your workflow. It is maintained by barnett-studios; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| Usage | The container runs as a non-root user; the embedding model weights (~30 MB, downloaded on first use) live under /home/cxpak/.cxpak — mount a named volume there to persist them across runs. |
| Intelligence | The Intelligence tool exposed by this server. |
| Conventions | Extracts a quantified convention profile from what your team actually does: naming, imports, error handling, dependencies, testing, visibility, function length, git health. Each pattern has counts, percentages, and stren |
| Onboarding | Generates a dependency-ordered reading guide: files topologically sorted, grouped into phases by module, ordered by PageRank. Each file lists key symbols to focus on and an estimated reading time. |
{
"mcpServers": {
"cxpak": {
"command": "docker",
"args": ["run", "-i", "--rm", "ghcr.io/barnett-studios/cxpak"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.