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Toolhouse MCP Server

@toolhouse-community

代码仓库

基本信息

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其他

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stdio

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toolhouse-community

关于 Toolhouse MCP Server

暂无概览

Toolhouse MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-toolhouse": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "uv",
        "--directory",
        "/path/to/toolhouse_mcp",
        "run",
        "toolhouse-mcp"
      ]
    }
  }
}

Toolhouse MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is Toolhouse MCP Server?

This MCP server connects MCP clients with Toolhouse's tools, built on Toolhouse and Groq's API for fast inference. It allows developers using compatible MCP clients (e.g., Claude Desktop) to access a library of tools from the Toolhouse platform.

How to use Toolhouse MCP Server?

Set the environment variables TOOLHOUSE_API_KEY and TOOLHOUSE_BUNDLE_NAME, then add the server to your MCP client's configuration (e.g., claude_desktop_config.json). Run via uvx mcp_server_toolhouse with the two env vars, or clone the repository and use uv pointing to the local directory.

Key features of Toolhouse MCP Server

  • Connects MCP clients to Toolhouse tool library
  • Requires Toolhouse API key and bundle name
  • Built on Toolhouse and Groq for fast inference
  • Supports clients like Claude Desktop, Cursor, Windsurf
  • Can be run with uvx or locally with uv

Use cases of Toolhouse MCP Server

  • Enhance Claude Desktop with web scraping, memory, and email tools
  • Build custom AI workflows that need Toolhouse’s tool library
  • Integrate Toolhouse tools into AI-powered IDEs like Cursor or Windsurf
  • Connect any MCP-compatible application to a curated bundle of tools

常见问题

1

What API key and bundle do I need?

You need a Toolhouse API key (free to get started) and a bundle name from your Toolhouse dashboard. The bundle groups the tools you want to use on your client.

2

Which MCP clients are supported?

The server is designed for any MCP client; the README specifically mentions Claude Desktop, Cursor, Windsurf, and Cline.

3

How do I debug the Toolhouse MCP Server?

Use the MCP Inspector via `npx @modelcontextprotocol/inspector uv --directory /path/to/toolhouse_mcp run toolhouse-mcp`. MCP servers run over stdio, so the Inspector helps with debugging.

4

What are the runtime dependencies?

The server can run with `uvx` (no local install) or locally with `uv` after cloning the repository. It is a Python package (`mcp_server_toolhouse`), so Python and `uv` are required.

5

Where does my data live?

The Toolhouse API key and bundle are passed as environment variables. Data flows through the Toolhouse platform according to your bundle settings; no data is stored by this MCP server itself.

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