How does this server access ChatGPT’s memory?
It uses a Chrome browser instance to interact with ChatGPT’s memory system, requiring the path to your Chrome executable (or setting it to `None` for default).
@NamanSharma5
Basic information
Since ChatGPT has memory it becomes a valuable data source for other models; facilitating a shared memory outside of a single model provider
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
ChatGPT Memory MCP Server is a tool that exposes ChatGPT's memory as a data source for other language models via the Model Context Protocol (MCP), enabling shared memory outside a single model provider. It is released under the MIT License.
Clone the repository, install dependencies with pip install -r requirements.txt, set environment variables (Chrome executable path or None), then link the server with an MCP client (e.g., Claude Desktop) by editing the client’s configuration with the appropriate command and arguments.
It uses a Chrome browser instance to interact with ChatGPT’s memory system, requiring the path to your Chrome executable (or setting it to `None` for default).
The README provides an example configuration for the Claude Desktop App; any MCP‑compatible client should work.
Python packages listed in `requirements.txt` and a Chrome browser installation are needed.
The README only describes reading memory data via MCP; it does not explicitly state whether writing or permanent storage is supported.
No API keys are mentioned; the server relies on a local Chrome instance accessing ChatGPT.
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