Skip to main content

All the high-quality toolhouse tools in one place, accessible as one MCP server

Project description

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_NAME="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_NAME": "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_NAME": "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:

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

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mcp_server_toolhouse-0.2.0.tar.gz (57.4 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mcp_server_toolhouse-0.2.0-py3-none-any.whl (5.9 kB view details)

Uploaded Python 3

File details

Details for the file mcp_server_toolhouse-0.2.0.tar.gz.

File metadata

File hashes

Hashes for mcp_server_toolhouse-0.2.0.tar.gz
Algorithm Hash digest
SHA256 a116cab198c68b0c46a30dbc4cafd356942d7b7480a63f2f60cd41312bb5373e
MD5 f0e0d4c8bac06f9505dbe5493bf19630
BLAKE2b-256 8a431771d18b06242b628b05d94dabffe5d00a842b9a10165a679f2e50ec6ea4

See more details on using hashes here.

File details

Details for the file mcp_server_toolhouse-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for mcp_server_toolhouse-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 6c720aa3232633e538b0e6c59f86ada7364b48622e7ba47951b515cefb47d273
MD5 cd0f37e7197c04e580c593f4ee41290d
BLAKE2b-256 40628bb805ecffbe321482b9cbc1c1990704631ce9ce9a75e9d3246cd1edeb95

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page