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Chatgpt MCP Server

An MCP server designed for ChatGPT's memory function, supporting memory data sharing with other models. Requires environment configuration and application linking for use.
2 points
13

What is the ChatGPT Memory MCP Server?

This server acts as a shared memory bank that different AI models can access, using ChatGPT's memory as the underlying data source. It implements the Model Context Protocol (MCP) to enable cross - model knowledge sharing.

How does it work?

The server runs as a background process, collecting and organizing ChatGPT's conversation memories and making them available to other connected AI applications through a standardized protocol.

Key Advantages

Enables persistent knowledge sharing between different AI conversations and models, reduces redundant information processing, and maintains context continuity.

Key Features

Cross - Model Memory SharingAllows different AI models to access and build on ChatGPT's conversation memories
Simple IntegrationEasy to connect to applications that support the MCP protocol
Local OperationRuns locally by default, ensuring data security and privacy protection

Advantages and Disadvantages

How to Use

Download the server code from the GitHub repository:
Install dependencies and configure the environment according to the instructions in the README file.
Start the server and configure the MCP protocol connection in other AI applications.

Frequently Asked Questions

What technical background is required to use this server?
How can I ensure that my conversation data is not leaked?
Can it be used with other AI models (such as GPT - 3.5 or PaLM)?

Additional Resources

Model Context Protocol Documentation
Official MCP protocol documentation and usage guide.
GitHub Repository
Source code, change logs, and issue tracking.
Quick Start Guide
Step - by - step installation and configuration tutorial.
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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