Provide a scaffold for building MCP servers with integrated AI and environment configuration support. Enable rapid development and deployment of MCP-compliant services using modern TypeScript tooling. Simplify the creation of MCP tools, resources, and prompts with built-in validation and runtime support.
Cross-referenced across 55 tracked directories
#8816
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
8/18/2025
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.