MCP Client which serves as bridge between mcp servers and local LLMs running on Ollama, Created for MCP Servers Developed by Me, However other MCP Servers may run as well
Agentic Mesh framework which utilizes a2a and mcp for building a self-organizing, intelligent ecosystem of AI agents that collaborate and adapt without rigid orchestration or manual intervention.
This repo demonstrates how to build a telegram bot using SSE Server and implement agentic flow using MCP with tools like Gmail, GDrive
OOAP SDK: Object Oriented Agentic Programming framework for Python that combines OOP principles with LLM-based agents to create structured, maintainable multi-agent systems.
This text introduces the Model Context Protocol (MCP) for AI interaction, exploring Google Apps Script (GAS) as a server option. It shows feasibility with a sample but notes the lack of a GAS SDK, aiming to encourage understanding and development.
Met Museum MCP integration to discover the art collection at The Metropolitan Museum of Art in New York
A Go-based HTTP server that provides a time API using Dockerized Model Context Protocol (MCP). Accepts a timezone and returns the current time, demonstrating Go, Docker, and JSON API integration. Includes unit tests and is ready for extension with new features.
Shadcn-vue and Tailwind CSS are essential for component development, offering developers a fast and high-quality experience in Vue component development.
This read-only MCP Server allows you to connect to Salesforce Marketing data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp
Put an end to code hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project
Simple MCP server providing AI assistants read-only access to Linear issues via API tokens
Een moderne AI Assistant configuratie hub gebouwd met Vite, React, TypeScript en Supabase
🤖 Proyecto completo para explorar, probar y documentar las capacidades avanzadas de Cursor Agents
This repo demonstrates how to improve your prompt by benchmarking against defined parameters






























































































