MCP Server Memos
by RyoJerryYu
A Python package that allows LLM models to interact with a Memos server through the Model Context Protocol (MCP) interface. It provides tools for searching, creating, and managing memos and tags.
Last updated: N/A
What is MCP Server Memos?
MCP Server Memos is a Python package that acts as an MCP server, enabling LLM models to interact with a Memos instance. It provides a set of tools to search, create, retrieve, and manage memos and their tags.
How to use MCP Server Memos?
The package can be installed via pip or Smithery. It can be run as a command-line tool or integrated as a library in your Python code. Configuration involves specifying the Memos server's host, port, and access token.
Key features of MCP Server Memos
Search memos with keywords
Create new memos with customizable visibility
Retrieve memo content by ID
List and manage memo tags
Secure authentication using access tokens
Use cases of MCP Server Memos
Integrating Memos data into LLM workflows
Building LLM-powered memo management tools
Creating automated memo creation and organization systems
Enabling LLMs to access and utilize personal knowledge bases stored in Memos
FAQ from MCP Server Memos
What is the Model Context Protocol (MCP)?
What is the Model Context Protocol (MCP)?
MCP is a protocol for LLM model applications, enabling them to interact with external data sources and tools.
How do I install MCP Server Memos?
How do I install MCP Server Memos?
You can install it via pip using pip install mcp-server-memos or via Smithery using the provided command.
What configuration options are available?
What configuration options are available?
You can configure the Memos server's host, port, and access token.
What tools are available?
What tools are available?
The server provides tools for listing memo tags, searching memos, creating memos, and getting memos by ID.
How do I contribute to the project?
How do I contribute to the project?
Contributions are welcome! Please feel free to submit a Pull Request.