ChronulusAI/chronulus-mcp
MCP Server for Chronulus AI Forecasting and Prediction Agents
Platform-specific configuration:
{
"mcpServers": {
"chronulus-mcp": {
"command": "npx",
"args": [
"-y",
"chronulus-mcp"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
<div align="center"> <h1 align="center">MCP Server for Chronulus</h1> <h3 align="center">Chat with Chronulus AI Forecasting & Prediction Agents in Claude</h3> </div>
Claude for Desktop is currently available on macOS and Windows.
Install Claude for Desktop here
Follow the general instructions here to configure the Claude desktop client.
You can find your Claude config at one of the following locations:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonThen 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
pip install chronulus-mcp(Option 2) Install from Github
git clone https://github.com/ChronulusAI/chronulus-mcp.git
cd chronulus-mcp
pip install .{
"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.
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 ar
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