#mcp-agent

a complete and intuitive SDK for building MCP Servers, MCP Agents, and LLM integrations (OpenAI, Claude, Gemini) with minimal effort. It abstracts all the complexity of the MCP protocol, provides an intelligent agent with automatic model routing, and includes a universal client for external APIs — all through a single, simple, and powerful interface. Perfect for chatbots, enterprise automation, internal system integrations, and rapid development of MCP-based ecosystems.

Open-source, modular “brain” for AI employees. Integrates with n8n and workflow engines, features persistent agent memory, natural language interface, and feedback loops. SaaS-ready, extensible, and easy to deploy with Docker.

Enables any MCP-compliant agentic platform (Claude, Grok, TypingMind, Cursor, etc.) to auto-discover generated MCP servers and sync capabilities from build metadata.

An innovative Model Context Protocol hub that seamlessly connects your client with intelligent agents, enabling powerful cross-platform communication across multiple MCP ecosystems

using different mcp servers to automate the tasks

create agent with mcp server

This repo makes use of MCP servers to seamlessly integrate multiple tools for the agent.

MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in

MCPAgent for Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in

Flex MCP Agent is an AI-powered agent designed to interface with MCP servers to process and resolve user queries. Simply configure it with MCP servers, and watch it scale effortlessly—no limits, no bottlenecks.

rummaging around mcp servers and ai agents

Python framework for creating AI agents that use MCP servers as tools. Compatible with any MCP server and model provider.

A curated list of essential MCP servers that I created for personal use. Feel free to use them.

A TypeScript example showcasing the integration of Ollama with the Model Context Protocol (MCP), specifically the Filesystem MCP Server. This project provides an interactive command-line interface for an AI agent that can utilize filesystem tools.