MCP Server for Chronulus

@ChronulusAI

About MCP Server for Chronulus

MCP Server for Chronulus AI Forecasting and Prediction Agents

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "chronulus-mcp": {
      "command": "docker",
      "args": [
        "build",
        ".",
        "-t",
        "chronulus-mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Server for Chronulus?

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.

How to use MCP Server for Chronulus?

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.

Key features of MCP Server for Chronulus

Chat with Chronulus AI forecasting and prediction agents.
Supports installation via pip, Docker, or uvx.
Requires a Chronulus API key for authentication.
Integrates with Claude Desktop on macOS and Windows.
Compatible with third‑party MCP servers (e.g., filesystem, fetch).
Provides forecast explanations when plotting outputs.

Use cases of MCP Server for Chronulus

Ask Chronulus agents to generate forecasts and predictions inside Claude.
Plot forecast outputs alongside agent‐provided explanations.
Combine Chronulus with file and web access tools for enriched analysis.

FAQ from MCP Server for Chronulus

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).

How do I configure MCP Server for Chronulus in Claude Desktop?

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.

What if I get an error like “spawn python ENOENT” or “spawn uvx ENOENT”?

Use the absolute path to python or uvx in the configuration. For uvx errors, install uv first (see Astral’s installation guide).

Can I use MCP Server for Chronulus alongside other servers?

Yes. The README shows an example config that includes filesystem and fetch servers alongside the Chronulus agent.

Are there recommended Claude preferences for working with Chronulus?

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.

Frequently asked questions

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`).

How do I configure MCP Server for Chronulus in Claude Desktop?

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.

What if I get an error like “spawn python ENOENT” or “spawn uvx ENOENT”?

Use the absolute path to `python` or `uvx` in the configuration. For `uvx` errors, install `uv` first (see Astral’s installation guide).

Can I use MCP Server for Chronulus alongside other servers?

Yes. The README shows an example config that includes `filesystem` and `fetch` servers alongside the Chronulus agent.

Are there recommended Claude preferences for working with Chronulus?

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.

Comments

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