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mcp-builder

Build and troubleshoot MCP servers, which connect AI agents to external tools, for codewhale. Covers local and remote connections, credential configuration, tool validation, and testing both successful requests and failures.

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Design, build, configure, or debug Model Context Protocol servers for codewhale, including stdio and HTTP/SSE transports.

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适用场景

  • Building an MCP server for a local tool
  • Connecting codewhale to a remote service
  • Configuring credentials and connection headers
  • Debugging MCP connections and tool failures

包含的文件(1)

  • SKILL.md1.5 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

MCP Builder

Use this skill when the user asks to create, configure, or debug an MCP server or tool integration.

Design Rules

  • Prefer stdio MCP servers for local tools and HTTP/SSE for remote services.
  • Keep tool schemas small, typed, and explicit. Return structured JSON where possible.
  • Put secrets in environment variables, never in committed config.
  • For HTTP/SSE clients, send Accept: application/json, text/event-stream by default unless the server explicitly requires something else.
  • Add timeouts and clear error messages around external APIs.

Codewhale Setup

Common commands:

codewhale mcp init
codewhale mcp add my-server --command node --arg server.js
codewhale mcp add remote-server --url http://127.0.0.1:3000/mcp
codewhale mcp list
codewhale mcp validate
codewhale mcp tools

HTTP/SSE entries can include per-server headers in ~/.codewhale/mcp.json when credentials or custom routing headers are required.

Workflow

  1. Define the service boundary and the minimum useful tools.
  2. Choose transport and credential handling.
  3. Implement the server using a maintained MCP SDK when available.
  4. Add the server with codewhale mcp add or edit ~/.codewhale/mcp.json.
  5. Run codewhale mcp validate, then codewhale mcp tools.
  6. Test one happy path and one failure path before calling it done.

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