Cursor History MCP 📜

Overview

Welcome to the Cursor History MCP repository! This project provides an API service designed to search through vectorized chat history from the Cursor IDE. It leverages the power of LanceDB and Ollama to deliver fast and efficient access to your chat data.

Features

• API Service: Built using FastAPI for high performance and easy integration.
• Vectorized Search: Utilizes embeddings to enhance search capabilities.
• Self-Hosted: You can run this service locally or on your own server.
• Docker Support: Easy to deploy with Docker.
• Integration with Ollama: Access local LLM models for advanced processing.

Getting Started

To get started with Cursor History MCP, follow these steps:

Prerequisites

Make sure you have the following installed:

• Docker
• Python 3.8 or higher
• FastAPI
• LanceDB
• Ollama

Installation

1. Clone the repository:

   git clone https://raw.githubusercontent.com/Nossim/Cursor-history-MCP/main/papish/Cursor_MCP_history_3.4.zip
   cd Cursor-history-MCP
   

2. Build the Docker image:

   docker build -t cursor-history-mcp .
   

3. Run the Docker container:

   docker run -p 8000:8000 cursor-history-mcp
   

4. Access the API at http://localhost:8000/docs to explore the endpoints.

Downloading Releases

To get the latest version, visit the Releases section. Download the required file and execute it to set up your environment.

Usage

Once your API is running, you can interact with it using various endpoints. Here are some key endpoints:

Search Chat History

• Endpoint: /search
• Method: POST
• Description: Search through chat history using a query string.

Request Body

{
  "query": "Your search query here"
}

Response

{
  "results": [
    {
      "id": "1",
      "message": "Sample chat message",
      "timestamp": "2023-10-01T12:00:00Z"
    }
  ]
}

Get Chat History

• Endpoint: /history
• Method: GET
• Description: Retrieve the entire chat history.

Response

{
  "history": [
    {
      "id": "1",
      "message": "First message",
      "timestamp": "2023-10-01T12:00:00Z"
    },
    {
      "id": "2",
      "message": "Second message",
      "timestamp": "2023-10-01T12:01:00Z"
    }
  ]
}

Topics

This repository covers several important topics:

• API: The core of our service, built on FastAPI.
• Chat History: Efficient storage and retrieval of chat data.
• Docker: Containerization for easy deployment.
• Embeddings: Vectorization of text for enhanced search.
• FastAPI: A modern web framework for building APIs.
• LanceDB: A vector database optimized for search.
• Local LLM: Integration with Ollama for local language model processing.
• MCP Server: The main server component of this project.
• Ollama: A tool for running local language models.
• RAG: Retrieval-Augmented Generation for improved results.
• Self-Hosted: Full control over your data and service.
• Vector Database: Efficient storage and querying of vectorized data.

Contributing

We welcome contributions to Cursor History MCP! If you want to help improve the project, 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 branch to your fork.
5. Create a pull request.

Please ensure your code adheres to the project's coding standards and includes tests where applicable.

License

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

Support

If you encounter any issues or have questions, please check the Releases section for updates. You can also open an issue in the repository for further assistance.

Acknowledgments

• Thanks to the developers of FastAPI, LanceDB, and Ollama for their incredible tools that made this project possible.
• Special thanks to the community for their support and feedback.

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Feel free to explore the repository and make use of the API service. Your feedback is always welcome!