How do I install MCP Server for Chronulus?
You can install it via `pip install chronulus-mcp`, build a Docker image from the GitHub repo, or run it with `uvx chronulus-mcp` (requires `uv`).
@ChronulusAI
基本情報
MCP Server for Chronulus AI Forecasting and Prediction Agents
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"chronulus-mcp": {
"command": "docker",
"args": [
"build",
".",
"-t",
"chronulus-mcp"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP Server for Chronulus is a server that connects Claude desktop to Chronulus AI’s forecasting and prediction agents, allowing users to interact with these agents directly through Claude’s chat interface.
Install the server via pip install chronulus-mcp, Docker, or uvx chronulus-mcp. Add a configuration entry to your Claude Desktop config file (claude_desktop_config.json) with the CHRONULUS_API_KEY environment variable set. Optionally, pair it with other MCP servers like filesystem and fetch for expanded capabilities.
You can install it via `pip install chronulus-mcp`, build a Docker image from the GitHub repo, or run it with `uvx chronulus-mcp` (requires `uv`).
Add a server entry named `chronulus-agents` to your `claude_desktop_config.json`, set the command (e.g., `uvx`), and provide the `CHRONULUS_API_KEY` environment variable.
Use the absolute path to `python` or `uvx` in the configuration. For `uvx` errors, install `uv` first (see Astral’s installation guide).
Yes. The README shows an example config that includes `filesystem` and `fetch` servers alongside the Chronulus agent.
Yes. When using Chronulus, prefer input field types like `TextFromFile`, `PdfFromFile`, and `ImageFromFile` over scanning files directly. When plotting forecasts, always include the Chronulus‑provided forecast explanation below the plot.

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