Chronulus MCP

The Chronulus MCP service is a prediction agent server designed for Claude AI, supporting installation and configuration in multiple ways, including pip, docker, and uvx, and can be integrated with services such as the file system and network requests.

Artificial intelligence chatbots Research and data #AI prediction #Claude plugin #Service integration #Flexible configuration .Python

rating : 2.5 points

downloads : 64

update time : 2025-04-29

What is the Chronulus MCP Server?

The Chronulus MCP Server is a middleware service that allows users to directly interact with the Chronulus prediction and forecasting agents in Claude AI. It enables seamless integration between Claude and the Chronulus AI service through the Model Context Protocol (MCP).

How to use the Chronulus MCP Server?

You need to configure the MCP server in the Claude desktop client first, and then you can directly use Chronulus's prediction function in the chat.

Applicable scenarios

Suitable for scenarios that require AI prediction capabilities, such as time - series forecasting, market trend analysis, and business decision - making support.

Main features

Time - series forecastingProvide accurate time - series forecasting capabilities, supporting multiple forecasting models

Seamless integration with ClaudeDeeply integrate with Claude AI through the MCP protocol to provide a natural language interaction experience

Support for multiple data sourcesSupport reading data from various formats such as text files and PDFs for analysis

Advantages and limitations

Advantages

Use advanced prediction functions without coding

Natural language interaction experience with Claude

Support multiple data input formats

Limitations

Need to configure the MCP server

Restrictions on direct reading of binary files (such as images and PDFs)

Dependent on the Chronulus API key

How to use

Install the Claude desktop client

Download and install the Claude desktop version suitable for your operating system from the official website

Configure the MCP server

Edit the Claude configuration file and add the Chronulus MCP server configuration

Set Claude preferences

Add tool usage preference instructions in the Claude settings

Usage examples

Sales forecastingPredict the sales volume for the next quarter based on historical sales data

Market trend analysisExtract key indicators from multiple market reports and conduct trend forecasting

Frequently Asked Questions

Why does the error 'MCP chronulus - agents: spawn python ENOENT' occur?

How to obtain the Chronulus API key?

Can multiple MCP servers be used simultaneously?

Related resources

Claude download

Claude desktop client download page

MCP protocol official website

Official documentation of the Model Context Protocol

Chronulus official website

Official website of the Chronulus AI prediction service

🚀 Quick Start: Claude Desktop Version

✨ Features

Claude Desktop Version offers seamless integration with various operating systems and multiple installation methods, enabling users to customize their configurations for an optimized multi - tool collaboration experience.

📦 Installation

Claude Desktop Version is currently available for macOS and Windows systems. Go to here to download and install Claude Desktop Version.

🛠️ Configuration

Configure the Claude desktop client according to the general instructions here. You can find your Claude configuration file in the following locations:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Then, choose the method that suits you best according to the following instructions and add it to claude_desktop_config.json.

Install using pip

(Option 1) Install the release from PyPI

pip install chronulus - mcp

(Option 2) Clone and install from Github

git clone https://github.com/ChronulusAI/chronulus - mcp.git
cd chronulus - mcp
pip install .

Add the following configuration to claude_desktop_config.json:

{
  "mcpServers": {
    "chronulus - agents": {
      "command": "python",
      "args": ["-m", "chronulus - mcp"],
      "env": {
        "CHRONULUS_API_KEY": "your_api_key"
      }
    }
  }
}

If your API key contains special characters, remember to escape them correctly in JSON.

Install using Docker

If you prefer to use Docker, you can follow these steps:

Make sure you have Docker installed and the Docker daemon is running.
Execute the following command in the terminal or command prompt to pull the Docker image:

docker pull chronulus/mcp - server:latest

Run the container:

docker run -it --name mcp - server -p 8000:8000 chronulus/mcp - server:latest

Add the following configuration to claude_desktop_config.json:

{
  "mcpServers": {
    "chronulus - agents": {
      "command": "docker",
      "args": ["run", "-it", "--name", "mcp - server", "-p", "8000:8000", "chronulus/mcp - server:latest"]
    }
  }
}

Install using uvx

If you have uvx installed, you can execute the following command:

npx uvx mcp - server

Then add the following configuration to claude_desktop_config.json:

{
  "mcpServers": {
    "chronulus - agents": {
      "command": "node",
      "args": ["index.js"]
    }
  }
}

(Assuming your MCP server startup script is index.js)

⚙️ Additional Server Configuration

If you want to add other servers, such as a file system or a fetch tool, add the following to claude_desktop_config.json:

{
  "mcpServers": {
    "chronulus - agents": { ... },
    "filesystem": {
      "command": "node",
      "args": ["mcp - server - filesystem", "/path/to/AIWorkspace"]
    },
    "fetch": {
      "command": "node",
      "args": ["mcp - server - fetch"]
    }
  }
}