Discover Game-Changing MCP Solutions
🌟 Transform your AI capabilities with these cutting-edge MCP resources, tools, clients and servers!
Build MCP-compatible AI servers easily with http4k. Integrate AI models with type-safe tools and flexible transport.
Genkit MCP: Seamlessly integrate Genkit with the Model Context Protocol for enhanced AI model interaction and resource utilization.
waha-api-mcp-server: Connect OpenAPI specs to AI models like Claude as MCP tools.
Foxy Contexts: Golang library for building MCP servers, simplifying AI model integration with tools, resources, and prompts.
FastMCP: A Pythonic way to build MCP Servers. *No longer maintained, integrated into the official MCP SDK.*
Yuque-MCP-Server: Connect AI models to Yuque for automated knowledge management and team analytics via MCP.
mcp-manager: A desktop client to manage MCP servers for Claude on MacOS, enabling access to private data and APIs.
mcp-datetime: An MCP server for AI models, offering versatile datetime formatting, including Japanese and filename formats.
HackMD MCP Server: Connect AI models to HackMD for seamless note management and enhanced productivity.
ws-mcp: WebSocket wrapper for MCP servers, simplifying AI model integration and deployment.
Wanaku: An MCP Router connecting AI models and external resources via the Model Context Protocol.
The Strava MCP Server connects AI models to Strava API, enabling access to athlete activity data for intelligent applications.