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 API Key: You need a Toolhouse API Key to access the Toolhouse platform.
Toolhouse Bundle: You need to create a bundle, essentially a group of tools you can assemble from the ones available on the Toolhouse platform.
mcp-toolhouse
(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"
[!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:
{
"mcpServers": {
"mcp-server-toolhouse": {
"command": "uvx",
"args": ["mcp_server_toolhouse"],
"env": {
"TOOLHOUSE_API_KEY": "your_toolhouse_api_key",
"TOOLHOUSE_BUNDLE": "a_bundle_name"
}
}
}
}
{
"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"
}
}
}
}
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": "a_bundle_name"
}
}
Future improvements include:
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.
📦 Repomix is a powerful tool that packs your entire repository into a single, AI-friendly file. Perfect for when you need to feed your codebase to Large Language Models (LLMs) or other AI tools like Claude, ChatGPT, DeepSeek, Perplexity, Gemini, Gemma, Llama, Grok, and more.
The MCP server for Azure DevOps, bringing the power of Azure DevOps directly to your agents.