#langgraph

Simple MCP Server w/ Shell Exec. Connect to Local via Ngrok, or Host Ubuntu24 Container via Docker

Transforms MCP tools into collaborative, reasoning agents using modern agent frameworks.

LangGraph agent tutorial adapted to use MCP servers.

About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

This project creates a LangGraph assistant using tool-calling supported by LLM, integrated with a local WhatsApp Mcp server for context-aware message automation.

This is our final project , in this we have utlized langgraph coupled with various mcp server mounted of fastapi using fastmcp to create mutlifaceted application for healthcare vendor to make them understand more about their product performance and provide suggestions and strategies

Transforms MCP tools into collaborative agents using the LangGraph framework.

MCP server for understanding AWS spend

Developed an MCP-based AI infrastructure enabling real-time tool execution, structured knowledge retrieval, and dynamic agentic interactions for AI clients like Claude and Cursor.

Tool-based LLM integration with Zenodo via the Model Context Protocol (MCP)

LangGraph Agent that integrates with MCP servers

This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independently (via SSE or STDIO), offering modularity and cloud-deployable execut

This repo is for Praticing the Langgraph,Langchain,AI Automation and other stuff along with these MCP server,client implementation

DataAnalysis Agent using LangGraph & MCP server and client

Multi Agents with MCP servers implementation using Langgraph

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based Agent.

A documentation AI Agent built with LangGraph, MCP Docs, and Chainlit, designed to help users create different projects using natural language.

This repository contains hands-on projects, code examples, and deployment workflows. Explore multi-agent systems, LangChain, LangGraph, CrewAI, RAG, automation with n8n, and scalable agent deployment using Docker, AWS, and BentoML.