🐺 Ai agents with MCP and Langgraph

Welcome to the hub of specialized AI agents. This repository is a cutting-edge demonstration of multi-agent systems, where each agent is a master of its domain. Built on a robust foundation of LangGraph and LangChain and MCP, these agents leverage the Model Context Protocol (MCP) for seamless tool integration and use powerful LLMs via OpenRouter to reason, execute, and deliver intelligent results. From scraping the web and generating podcasts to analyzing stocks and managing GitHub repositories, this project showcases the power of modular, AI-driven automation.

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🧭 Agent Overview

Agent	Name	Primary Function	Key Tools & APIs
Agent-1	Scraper Agent	Intelligent web research & data extraction	Tavily, Firecrawl
Agent-2	Podcast Agent	Dynamic podcast generation & text-to-speech	ChatGroq, ElevenLabs, Streamlit
Agent-3	Stock Agent	Real-time financial market analysis & news	Alpha Vantage, NSE, MoneyControl
Agent-4	Github Agent	Automated repository management & documentation	GitHub API, MCP SDK, PyGithub
Agent-5	Notion Copilot	Research, content structuring & Notion automation	Notion API, Tavily, Firecrawl
Agent-6	RAG	RAG retrieval	Huggingface

🛠 Installation

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1. Clone the Repository

git clone git@github.com:jenasuraj/Ai_agents.git

2. Go to projects

cd projects

3. Create a virtual env

python -m venv venv

4. activate it

venv\Scripts\Activate

5. Install the requirements.txt

pip install -r requirements.txt

6. Run any agent !

Run python ___.py

Now in order to run and install mcp, do the same procedure, but i would suggest you to use uv for installation ⬇️🤗.