This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
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].
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
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]
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
Run the server:
python server.py
Open the UI: Navigate to http://127.0.0.1:8000 in your browser to interact with the agent.
Powered by Groq & FastAPI 🚀
This server cannot be deployed
LLM Observability & Orchestration Agent (LangChain Community)
LLM Observability & Orchestration Agent (Langchain)
AI Agent Utility Layer for agent safety, web monitoring, crypto research and tool discovery.
Memory, reflection and safety for AI agents. Hosted or local, no vector database.