fastmcp and mcp-server-memos-py

fastmcp is a framework for building MCP servers and clients, while mcp-server-memos-py is a specific MCP server implementation built to interact with Memos—making them complementary tools where fastmcp provides the infrastructure and mcp-server-memos-py is an example application of that infrastructure.

fastmcp
94
Verified
mcp-server-memos-py
53
Established
Maintenance 25/25
Adoption 25/25
Maturity 25/25
Community 19/25
Maintenance 6/25
Adoption 12/25
Maturity 18/25
Community 17/25
Stars: 23,593
Forks: 1,813
Downloads: 78,413,808
Commits (30d): 184
Language: Python
License: Apache-2.0
Stars: 21
Forks: 8
Downloads: 576
Commits (30d): 0
Language: Python
License: MIT
No risk flags
No risk flags

About fastmcp

PrefectHQ/fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

Provides automatic schema generation and validation from Python type hints while supporting three core patterns: servers that expose tools/resources/prompts to LLMs, clients for connecting to any MCP endpoint, and interactive apps with UI rendering. Built on the Model Context Protocol standard with integrated transport negotiation, authentication, and lifecycle management across stdio, SSE, and other channels.

About mcp-server-memos-py

RyoJerryYu/mcp-server-memos-py

A Python package enabling LLM models to interact with the Memos server via the MCP interface for searching, creating, retrieving, and managing memos.

Implements the MCP protocol as a stdio-based server that exposes Memos operations (search, create, retrieve, tag management) as discrete tools callable by LLM clients. Supports token-based authentication and configurable visibility levels (PUBLIC/PROTECTED/PRIVATE) for memos, integrating seamlessly with MCP-compatible clients like Claude Desktop via Smithery or direct configuration.

Scores updated daily from GitHub, PyPI, and npm data. How scores work