
Memory MCP
A Model Context Protocol server that allows users to store, retrieve, update, and delete memories using SQLite storage.
README
Memory MCP
A Model Context Protocol server for storing and retrieving memories using low-level Server implementation and SQLite storage.
Installation
This project uses uv for dependency management instead of pip. uv is a fast, reliable Python package installer and resolver.
Install using uv:
uv pip install memory-mcp
Or install directly from source:
uv pip install .
For development:
uv pip install -e ".[dev]"
If you don't have uv installed, you can install it following the official instructions.
Usage
Running the server
memory-mcp
This will start the MCP server that allows you to store and retrieve memories.
Available Tools
The Memory MCP provides the following tools:
remember
: Store a new memory with a title and contentget_memory
: Retrieve a specific memory by ID or titlelist_memories
: List all stored memoriesupdate_memory
: Update an existing memorydelete_memory
: Delete a memory
Debugging with MCP Inspect
MCP provides a handy command-line tool called mcp inspect
that allows you to debug and interact with your MCP server directly.
Setup
- First, make sure the MCP CLI tools are installed:
uv pip install mcp[cli]
- Start the Memory MCP server in one terminal:
memory-mcp
- In another terminal, connect to the running server using
mcp inspect
:
mcp inspect
Using MCP Inspect
Once connected, you can:
List available tools
> tools
This will display all the tools provided by the Memory MCP server.
Call a tool
To call a tool, use the call
command followed by the tool name and any required arguments:
> call remember title="Meeting Notes" content="Discussed project timeline and milestones."
> call list_memories
> call get_memory memory_id=1
> call update_memory memory_id=1 title="Updated Title" content="Updated content."
> call delete_memory memory_id=1
Debug Mode
You can enable debug mode to see detailed request and response information:
> debug on
This helps you understand exactly what data is being sent to and received from the server.
Exploring Tool Schemas
To view the schema for a specific tool:
> tool remember
This shows the input schema, required parameters, and description for the tool.
Troubleshooting
If you encounter issues:
- Check the server logs in the terminal where your server is running for any error messages.
- In the MCP inspect terminal, enable debug mode with
debug on
to see raw requests and responses. - Ensure the tool parameters match the expected schema (check with the
tool
command). - If the server crashes, check for any uncaught exceptions in the server terminal.
Development
To contribute to the project, install the development dependencies:
uv pip install -e ".[dev]"
Managing Dependencies
This project uses uv.lock
file to lock dependencies. To update dependencies:
uv pip compile pyproject.toml -o uv.lock
Running tests
python -m pytest
Code formatting
black memory_mcp tests
Linting
ruff check memory_mcp tests
Type checking
mypy memory_mcp
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