MonkDB MCP Server 🚀

Welcome to the MonkDB MCP Server! This project provides a powerful and flexible server for MonkDB, designed to facilitate data management and interaction with various AI agents. It is built using Python 3 and TypeScript, making it an ideal choice for developers looking to integrate advanced data processing capabilities into their applications.

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Contributing
• License
• Contact

Introduction

MonkDB MCP is designed to serve as a robust server for MonkDB, allowing seamless interaction with various AI agents. The server supports OLAP operations and provides a unified data platform for handling large datasets efficiently.

The project is open-source and licensed under the Apache 2.0 License, which allows you to use, modify, and distribute the software freely.

Features

• AI Agent Integration: Easily connect and manage multiple AI agents.
• Database Support: Works seamlessly with MonkDB for efficient data storage and retrieval.
• Unified Data Platform: Combines various data sources into a single, coherent platform.
• Support for LLMs: Facilitates interaction with Large Language Models (LLMs).
• Rich API: Offers a comprehensive API for developers to extend functionality.
• Easy Setup: Simple installation process with clear instructions.
• Community Support: Engage with a growing community of developers and users.

Installation

To install the MonkDB MCP Server, follow these steps:

1. Clone the Repository:

   git clone https://github.com/manohar9694/monkdb-mcp.git
   cd monkdb-mcp

2. Install Dependencies: Ensure you have Python 3 and Node.js installed. Then, run:

   pip install -r requirements.txt
   npm install

3. Run the Server: Start the server using the following command:

   python server.py

For the latest releases, visit the Releases section to download the appropriate files and execute them.

Usage

Once the server is running, you can interact with it using the provided API. Below are some basic usage examples:

Starting the Server

After installation, start the server:

python server.py

Making API Calls

You can use tools like curl or Postman to interact with the API. Here’s an example of how to make a request to the server:

curl -X GET http://localhost:5000/api/agents

Adding an AI Agent

To add a new AI agent, send a POST request:

curl -X POST http://localhost:5000/api/agents -d '{"name": "Agent1", "type": "llm"}' -H "Content-Type: application/json"

Retrieving Data

You can retrieve data from MonkDB using the following API call:

curl -X GET http://localhost:5000/api/data

Contributing

We welcome contributions from the community! If you would like to contribute, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them.
4. Push your changes to your forked repository.
5. Create a pull request to the main repository.

Please ensure that your code follows the project's coding standards and that you include tests for any new features.

License

This project is licensed under the Apache 2.0 License. See the LICENSE file for details.

Contact

For questions or feedback, please reach out to the project maintainer:

• Name: Manohar
• Email: manohar@example.com

We appreciate your interest in MonkDB MCP Server and look forward to your contributions!

For the latest releases, visit the Releases section to download the appropriate files and execute them.