A server enabling LLMs to access OpenDigger data using MCP tools.
OpenDigger MCP Server: Enabling LLMs to Access OpenDigger Data
Overview
The OpenDigger MCP Server is a lightweight server designed to facilitate access to OpenDigger data for Large Language Models (LLMs) through MCP tools. By integrating this server, users can interact with OpenDigger's online data directly within LLMs, enabling advanced data analysis and insights.
This project is developed and maintained by X-lab2017, and it is publicly available on GitHub.
Key Features
- Seamless Integration with LLMs: Allows LLMs to query and analyze OpenDigger data dynamically.
- Simple Setup: Easy-to-install server with minimal configuration requirements.
- Data Insights: Provides actionable insights from OpenDigger’s rich dataset.
Tools and Technologies
- JavaScript: Primary language used for server implementation (89.8%).
- TypeScript: Additional language for type safety and scalability (10.2%).
- MCP Tools: Utilized for enabling communication between LLMs and OpenDigger data.
Configuration
To set up the OpenDigger MCP Server, follow these steps:
- Clone the Repository:
bash
git clone https://github.com/X-lab2017/open-digger-mcp-server.git
- Install Dependencies:
bash
npm install
- Run the Server:
bash
npm start
Usage
Once the server is running, you can interact with it through LLMs to:
- Query OpenDigger data in real-time.
- Generate insights and reports based on the queried data.
- Integrate OpenDigger data into custom applications or workflows.
Resources
Community and Support
For issues or contributions, visit the GitHub repository.
Note: No releases or packages have been published yet. Stay tuned for updates!