Agent Streamlit RAG FAQs

Question 1

What is Agent Streamlit RAG?

Accepted Answer

Agent Streamlit RAG is a tool that helps you interact with MCP (My Control Plane) servers using a Streamlit interface and Retrieval-Augmented Generation (RAG).

Question 2

What is QDrant integration used for?

Accepted Answer

QDrant integration facilitates a robust and efficient RAG (Retrieval-Augmented Generation) implementation, enhancing the interaction with MCP servers by providing context-aware responses based on retrieved information.

Question 3

What are the main features of Agent Streamlit RAG?

Accepted Answer

Key features include a Streamlit interface for MCP server interaction, Retrieval-Augmented Generation (RAG) integration, support for fetching and finding MCP servers, and QDrant integration for RAG implementation.

Question 4

How do I enable QDrant for RAG with Agent Streamlit RAG?

Accepted Answer

Uncomment lines 63-70 in `main.py`, comment out the existing `instruction` and `server_names`, pull the QDrant docker image, run the QDrant container, and then run `uv run streamlit run main.py`.

Question 5

How do I use Agent Streamlit RAG to fetch MCP servers?

Accepted Answer

First, copy and configure the `mcp_agent.secrets.yaml` file with your API key. Then, run `uv sync` followed by `uv run streamlit run main.py`.

Agent Streamlit RAG

About

Key Features

Use Cases