MCP Memory Tracker
A Model Context Protocol (MCP) server that provides persistent memory capabilities using OpenAI's vector stores. This allows AI assistants to save and search through memories across conversations.
Features
Save Memories: Store text-based memories in OpenAI vector stores
Search Memories: Semantic search through saved memories using natural language queries
Persistent Storage: Memories are stored in OpenAI's cloud infrastructure
MCP Compatible: Works with any MCP-compatible client (like Claude Desktop)
Prerequisites
Python 3.8+
OpenAI API key
UV package manager (recommended) or pip
Installation
Clone the repository:
Install dependencies:
Set up environment variables: Create a
.env
file in the project root:
Usage
Running the MCP Server
Available Tools
save_memory(memory: str)
Saves a text memory to the vector store.
Parameters:
memory
(string): The text content to save
Returns:
Example:
search_memories(query: str)
Searches through saved memories using semantic search.
Parameters:
query
(string): Natural language search query
Returns:
Example:
Integration with MCP Clients
Claude Desktop
Add this server to your Claude Desktop configuration:
Other MCP Clients
This server implements the standard MCP protocol and should work with any compatible client. Refer to your client's documentation for configuration details.
How It Works
Vector Store Management: The server automatically creates and manages an OpenAI vector store named "memories"
Memory Storage: When you save a memory, it's uploaded as a text file to the vector store
Semantic Search: The search functionality uses OpenAI's vector search capabilities to find relevant memories based on meaning, not just keywords
Configuration
The server uses the following constants that can be modified in server.py
:
VECTOR_STORE_NAME
: Name of the OpenAI vector store (default: "memories")
Dependencies
fastmcp
: MCP server frameworkopenai
: OpenAI Python SDKpython-dotenv
: Environment variable management
Troubleshooting
Common Issues
"OPENAI_API_KEY not found": Make sure your
.env
file is properly configured"'SyncPage' object has no attribute...": This indicates an API response structure issue - check your OpenAI SDK version
File upload errors: Ensure your OpenAI API key has vector store permissions
Debug Mode
Add print statements to see detailed responses:
Contributing
Fork the repository
Create a feature branch
Make your changes
Submit a pull request
License
[Add your license here]
Support
For issues and questions:
Check the troubleshooting section
Review OpenAI API documentation
Check MCP protocol documentation
A Model Context Protocol (MCP) server that provides persistent memory capabilities using OpenAI's vector stores, allowing AI assistants to save and search through memories across conversations.
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