MCP ExplorerExplorer

Mcp Server Toolhouse

12 MIT
FreeCommunity
AI Systems
Toolhouse MCP 服务器实现了 MCP 客户端与 Toolhouse 丰富工具的无缝集成,基于 Toolhouse 和 Groq 的 API 以实现快速推理。它为增强 AI 应用提供标准化方法,将 LLM 与所需上下文连接起来。

Overview

What is Mcp Server Toolhouse

The mcp-server-toolhouse is a server that connects MCP clients with Toolhouse’s tools, enabling fast inference through the integration of the Model Context Protocol (MCP) and Groq’s API.

Use cases

Use cases for the mcp-server-toolhouse include building AI-powered IDEs, enhancing chat interfaces, and creating custom AI workflows that require seamless integration with external data sources and tools.

How to use

To use the mcp-server-toolhouse, you need to set up environment variables for the Toolhouse API Key and Bundle, modify the configuration file of your MCP client, and run the server locally or through a compatible command.

Key features

Key features include access to a vast library of tools for compatible MCP clients, enabling enhanced capabilities such as web scraping, memory management, and email sending.

Where to use

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Content

Toolhouse MCP Server

Toolhouse MCP Server implementation

This MCP server allows you to connect MCP clients with Toolhouse’s tools. Built on top of Toolhouse and Groq’s API - for fast inference.

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you’re building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need.

Toolhouse Server MCP server

Features

  • Allows compatible MCP Clients (i.e Claude Desktop App) to access a vast library of tools to enhance their capabilities

Configuration

Setup Environment Variables

  1. Toolhouse API Key:
    You need a Toolhouse API Key to access the Toolhouse platform.

    • Sign up at Toolhouse and create an account, it’s FREE to get started.
    • Obtain your API key from the Toolhouse dashboard.
  2. Toolhouse Bundle:
    You need to create a bundle, essentially a group of tools you can assemble from the ones available on the Toolhouse platform.

    • Navigate to Toolhouse Bundles and create a bundle with any name i.e. mcp-toolhouse
    • Add the tools that you want to use on your client i.e. Scrape the web, Memory, Send Email
    • Ensure your bundle looks good (it auto saves)
  3. (Optional) Set these environment variables if you prefer not having them in the configuration:

    export TOOLHOUSE_API_KEY="your_toolhouse_api_key"
    export TOOLHOUSE_BUNDLE="your_bundle_name"
    

Starting the server

[!TIP]
If you are stuck configuring your client, i.e. Cursor, Windsurf, Cline etc… open an Issue here on Github and I will help you personally.

Add this server to your client’s configuration.
For example on Claude’s desktop app navigate to the folder and manually change the settings file called claude_desktop_config.json

On MacOS:

~/Library/Application\ Support/Claude/claude_desktop_config.json

On Windows:

%APPDATA%/Claude/claude_desktop_config.json

Modify the configuration file to look like this:

With UVX

{
  "mcpServers": {
    "mcp-server-toolhouse": {
      "command": "uvx",
      "args": [
        "mcp_server_toolhouse"
      ],
      "env": {
        "TOOLHOUSE_API_KEY": "your_toolhouse_api_key",
        "TOOLHOUSE_BUNDLE": "a_bundle_name"
      }
    }
  }
}

With UV

{
  "mcpServers": {
    "mcp-server-toolhouse": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/this/folder/mcp-server-toolhouse",
        "run",
        "mcp_server_toolhouse"
      ],
      "env": {
        "TOOLHOUSE_API_KEY": "your_toolhouse_api_key",
        "TOOLHOUSE_BUNDLE": "a_bundle_name"
      }
    }
  }
}

Run this project locally

This project is not yet configured for ephemeral environments like uvx. Run the project locally by cloning the repository:

git clone https://github.com/toolhouse-community/mcp-server-toolhouse.git

Add this tool as an MCP server.

On MacOS:

~/Library/Application\ Support/Claude/claude_desktop_config.json

On Windows:

%APPDATA%/Claude/claude_desktop_config.json

Modify the configuration file to include:

TODO

Future improvements include:

  • Adding test coverage for all modules
  • Extending API support for enhanced tool configurations

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, use the MCP Inspector.

Launch the Inspector via npm:

npx @modelcontextprotocol/inspector uv --directory /path/to/toolhouse_mcp run toolhouse-mcp

The Inspector will display a URL to access debugging tools in your browser.

Tools

No tools

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