The MCP Server integrates APIs from the Youtube-Summarizer as tools within the MCP protocol, allowing for local AI application interaction and tool utilization through natural language queries.
A production-ready template for creating Model Context Protocol servers with TypeScript, providing tools for efficient testing, development, and deployment.
This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.
MCP Server provides a simpler API to interact with the Model Context Protocol by allowing users to define custom tools and services to streamline workflows and processes.
This TypeScript-based MCP server allows users to manage a simple notes system through creating and summarizing text notes using Model Context Protocol (MCP).
MCP Server simplifies the implementation of the Model Context Protocol by providing a user-friendly API to create custom tools and manage server workflows efficiently.