chronulus-mcp

Source: https://github.com/ChronulusAI/chronulus-mcp

Category: ai-integration-mcp-servers
Tags: mcp, ai-integration, analytics, forecasting, prediction

Description

chronulus-mcp is an MCP server that provides forecasting and prediction capabilities using Chronulus AI agents. It enables predictive analytics to be accessed via the Model Context Protocol (MCP). The project is open source and licensed under the MIT license.

Features

• Forecasting & Prediction Agents: Enables interaction with Chronulus AI agents for time series forecasting and prediction tasks.
• MCP Integration: Exposes predictive analytics capabilities through the Model Context Protocol, allowing use with compatible clients and workflows.
• Multiple Installation Methods:
  • Install via pip from PyPI.
  • Install directly from the GitHub repository.
  • Deploy using Docker by building a Docker image.
  • Use with uvx for quick installation and execution.
• Claude Integration: Designed for use with Claude for Desktop (macOS/Windows) and Claude.ai, supporting configuration for seamless integration.
• API Key Support: Requires configuration of a Chronulus API key for authentication.
• Support for Additional MCP Servers: Can be configured to work alongside other MCP servers such as filesystem and fetch for expanded capabilities.
• Binary File Handling: Instructions for proper handling of binary file types (e.g., images, PDFs) when using Chronulus agents.
• Configurable via JSON: Server commands and environment variables can be set in configuration files for flexible deployment.
• Open Source: Source code available and contributions are welcome.

Pricing

No pricing information is provided. The software is open source under the MIT license.

License

MIT license.