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mcp-ai-agent

by rawanosama14
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⚡ Minimal MCP AI Agent with Embedded Testing UI

A clean, single-file implementation of a Model Context Protocol (MCP) AI Agent powered by Groq (openai/gpt-oss-120b), LangChain, and FastAPI, featuring an embedded dark-mode testing UI[cite: 13].

✨ Features

  • Built-in MCP Tools:

    • analyze_text: Analyzes text word/character count and sentiment indicators[cite: 13].

    • get_system_info: Tracks real-time system metrics (CPU usage, memory consumption, and uptime using psutil)[cite: 13].

  • LangChain Tool Calling: The agent autonomously decides when and how to execute tools based on user queries[cite: 13].

  • Embedded Web UI: A modern sidebar interface to test queries, view tool execution logs, and monitor live status[cite: 13].

Related MCP server: System Monitor MCP Server

🛠️ Tech Stack

  • Backend: FastAPI, Uvicorn, Python[cite: 13]

  • AI / LLM: LangChain, Groq API (openai/gpt-oss-120b)[cite: 13]

  • System Monitoring: psutil[cite: 13]

  • Frontend: Embedded HTML/CSS (Dark theme UI)[cite: 13]

🚀 Quick Start

  1. Clone the repository:

    git clone [https://github.com/rawanosama14/mcp-groq-ai-agent.git](https://github.com/rawanosama14/mcp-groq-ai-agent.git)
cd mcp-groq-ai-agent

2. **Install dependencies:**
```bash
pip install fastapi uvicorn langchain-groq langchain-core psutil pydantic

  1. Run the server:

python server.py

  1. Open the UI: Navigate to http://127.0.0.1:8000 in your browser to interact with the agent.

Powered by Groq & FastAPI 🚀

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