costwright — MCP server

Static worst-case token-budget analysis for LLM-agent workflows. Point it at a Python repo using LangGraph / CrewAI / OpenAI-Agents-SDK and it reports — by pure AST analysis, without running the code — the worst-case budget ceiling of every workflow graph: which units are certifiable / default-dependent / non-certifiable / runaway, and which LLM calls have no token cap. Optionally issues an Ed25519-signed budget certificate logged to a public transparency log. Wraps the hosted costwright API; backed by a Lean 4 cost-soundness theorem.

Use it before deploying an agent workflow to catch missing token caps and while True: runaway drivers — the budget version of a type check.

Tools

Related MCP server: cycles-mcp-server

Setup

{
  "mcpServers": {
    "costwright": {
      "command": "npx",
      "args": ["-y", "costwright-mcp"],
      "env": { "COSTWRIGHT_API_KEY": "your_rapidapi_key" }
    }
  }
}

The key is sent as X-RapidAPI-Key (RapidAPI channel) by default; set COSTWRIGHT_DIRECT=1 to send it as Authorization: Bearer for the direct channel. verify and pubkey work with no key.

check/certify build a .py-only gzip archive of repo_path client-side (excluding venv, node_modules, tests, etc.) and send it for analysis — your source is uploaded to the hosted API. See https://eleata.io/privacy/. MIT licensed.