Costwright Mcp

Name: Costwright Mcp
Author: hernaninverso

@hernaninverso

代码仓库

关于 Costwright Mcp

Static worst-case token-budget analysis of LLM-agent workflows

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

hernaninverso

提交者

Hernán Inverso

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Costwright Mcp?

Costwright Mcp is a static worst-case token‑budget analyzer for LLM‑agent workflows. It examines a Python repository that uses LangGraph, CrewAI, or the OpenAI Agents SDK and reports – by pure AST analysis, without running the code – the worst‑case budget ceiling of every workflow graph. It can optionally issue an Ed25519‑signed budget certificate that is logged to a public transparency log.

How to use Costwright Mcp?

Configure the MCP server using npx costwright-mcp with the COSTWRIGHT_API_KEY environment variable. Four tools are provided: costwright_check (static analysis), costwright_certify (signed certificate), costwright_verify (public certificate verification), and costwright_pubkey (retrieve public keys). The verify and pubkey tools require no API key.

Key features of Costwright Mcp

Static worst‑case token‑budget analysis for LLM agent workflows.
Reports certifiable, default‑dependent, non‑certifiable, and runaway units.
Issues Ed25519‑signed budget certificates logged to a transparency log.
Pure AST analysis – no code execution required.
Compatible with LangGraph, CrewAI, and OpenAI Agents SDK.
Public verify and pubkey tools for offline verification.

Use cases of Costwright Mcp

Catch missing token caps before deploying an agent workflow.
Identify while True: runaway drivers in LLM agent code.
Provide a “budget type check” for agent workflow pipelines.
Issue signed budget certificates for compliance or auditing.

FAQ from Costwright Mcp

What kind of repositories does Costwright Mcp analyze?

It analyzes Python repositories that use LangGraph, CrewAI, or the OpenAI Agents SDK, returning worst‑case token budgets for every workflow graph.

Does Costwright Mcp run the code it analyzes?

No. It performs pure static AST analysis – the code is never executed.

Is an API key required to use Costwright Mcp?

Yes, for the check and certify tools. The verify and pubkey tools are public and require no key.

Where does my source code go when using Costwright Mcp?

The check and certify tools upload a compressed archive of the repository to the hosted API. See the privacy policy at https://eleata.io/privacy/ for details.

What output does Costwright Mcp produce?

It returns a pass/fail status along with counts of units categorized as certifiable, default‑dependent, non‑certifiable, or runaway, and identifies which LLM calls have no token cap.

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