Provide a server implementation that integrates with the Model Context Protocol to expose tools, resources, and prompts for LLM applications. Enable dynamic interaction with external data and actions through a standardized JSON-RPC interface. Facilitate seamless extension of LLM capabilities by serving as a bridge to external context and operations.
Cross-referenced across 55 tracked directories
#8501
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
7/5/2025
First Seen
Recently added to the ecosystem
Jeremiah Lowin
The fast, Pythonic way to build MCP servers and clients.
grafana
🎖️ 🐍 🏠 ☁️ - Search dashboards, investigate incidents and query datasources in your Grafana instance
59b9f352-8cdc-44d3-9dd9-db3bfa521880
No description available
datalayer
🐍 🏠 - Model Context Protocol (MCP) Server for Jupyter.