MCP Assistant FAQs

Question 1

What is Groq?

Accepted Answer

Groq is a company that makes fast LLMs. MCP assistant uses this to power the back end of the chat bot.

Question 2

What are MCP servers and how do I use them?

Accepted Answer

MCP servers are optional tools that extend the AI assistant's capabilities, such as Google Search or Playwright for browser automation. You can configure them in the `browser_mcp.json` file. You can choose to use the included configurations, or configure your own.

Question 3

How do I set up and run MCP Assistant?

Accepted Answer

First, clone the repository and install the dependencies using `pip install -r requirements.txt`. Then, set your Groq API key in the `.env` file. Configure MCP servers in `browser_mcp.json` if desired. Start the FastAPI backend with `uvicorn main:app --reload --port 8000` and launch the Streamlit frontend with `streamlit run streamlit_app.py`.

Question 4

What technologies does MCP Assistant use?

Accepted Answer

MCP Assistant uses Groq's LLM, LangChain for language model orchestration, FastAPI for the backend API, Streamlit for the user interface, and Docker for containerization. It also leverages MCP for optional server integration.

Question 5

What is MCP Assistant?

Accepted Answer

MCP Assistant is a tool for building AI-powered chat applications. It combines Groq's LLM with LangChain, a FastAPI backend, and a Streamlit frontend to create interactive chat experiences. It can optionally integrate with MCP servers for tools like search agents and browser automation.

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