Toolhouse MCP Server
This MCP server allows you to connect MCP clients with Toolhouse's tools. Built on top of [Toolhouse](https://toolhouse.ai/) and Groq's API - for fast inference.
[The Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) 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.
<a href="https://glama.ai/mcp/servers/re2w48yrzg"><img width="380" height="200" src="https://glama.ai/mcp/servers/re2w48yrzg/badge" alt="Toolhouse Server MCP server" /></a>
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
- **Toolhouse API Key**: You need a Toolhouse API Key to access the Toolhouse platform. - Sign up at [Toolhouse](https://toolhouse.ai/) and create an account, it's FREE to get started. - Obtain your API key from the Toolhouse dashboard.
- **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)
- (Optional) Set these environment variables if you prefer not having them in the configuration: ```bash 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:
On Windows:
Modify the configuration file to look like this:
With UVX
With UV
Run this project locally
This project is not yet configured for ephemeral environments like `uvx`. Run the project locally by cloning the repository:
Add this tool as an MCP server.
On MacOS:
On Windows:
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](https://github.com/modelcontextprotocol/inspector).
Launch the Inspector via [`npm`](https://docs.npmjs.com/downloading-and-installing-node-js-and-npm):
The Inspector will display a URL to access debugging tools in your browser.