An MCP Server for Chronulus AI Forecasting and Prediction Agents
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<div align="center"> <img width="150px" src="https://www.chronulus.com/brand-assets/chronulus-logo-blue-on-alpha-square.png" alt="Chronulus AI"> <h1 align="center">MCP Server for Chronulus</h1> <h3 align="center">Chat with Chronulus AI Forecasting & Prediction Agents in Claude</h3> </div> ### Quickstart: Claude for Desktop #### Install Claude for Desktop is currently available on macOS and Windows. Install Claude for Desktop [here](https://claude.ai/download) #### Configuration Follow the general instructions [here](https://modelcontextprotocol.io/quickstart/user) to configure the Claude desktop client. You can find your Claude config at one of the following locations: - macOS: `~/Library/Application Support/Claude/claude_desktop_config.json` - Windows: `%APPDATA%\Claude\claude_desktop_config.json` Then choose one of the following methods that best suits your needs and add it to your `claude_desktop_config.json` <details> <summary>Using pip</summary> (Option 1) Install release from PyPI ```bash pip install chronulus-mcp ``` (Option 2) Install from Github ```bash git clone https://github.com/ChronulusAI/chronulus-mcp.git cd chronulus-mcp pip install . ``` ```json { "mcpServers": { "chronulus-agents": { "command": "python", "args": ["-m", "chronulus_mcp"], "env": { "CHRONULUS_API_KEY": "<YOUR_CHRONULUS_API_KEY>" } } } } ``` Note, if you get an error like "MCP chronulus-agents: spawn python ENOENT", then you most likely need to provide the absolute path to `python`. For example `/Library/Frameworks/Python.framework/Versions/3.11/bin/python3` instead of just `python` </details> <details> <summary>Using docker</summary> Here we will build a docker image called 'chronulus-mcp' that we can reuse in our Claude config. ```bash git clone https://github.com/ChronulusAI/chronulus-mcp.git cd chronulus-mcp docker build . -t 'chronulus-mcp' ``` In your Claude config, be sure that the final argument m…
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