About Mcp_agent_streamlit_rag
Mcp_agent_streamlit_rag is a Streamlit chat application configured to use fetch or finder MCP servers, with an optional Qdrant RAG setup. The README provides run and configuration steps but does not describe additional capabilities.
Key features
- 01Streamlit application launch
- 02Fetch or finder MCP server setup
- 03API key configuration
- 04Optional Qdrant RAG setup
Use cases
- 01Run the chat application with fetch or finder servers
- 02Configure an API key for the application
- 03Enable Qdrant for a RAG setup
MCP support
The instructions describe using fetch or finder MCP servers; details of the client-server interaction are not provided.
Details
From the project READMERun instructions:
For using fetch or finder MCP servers:
cp mcp_agent.secrets.yaml.example mcp_agent.secrets.yaml--> then update with your API key (openai api key is enough)uv syncuv run streamlit run main.py
For using QDrant for RAG:
- Uncomment line 63-70 in main.py, and comment out the current
instructionandserver_names docker pull qdrant/qdrantdocker run -p 6333:6333 -v $(pwd)/qdrant_storage:/qdrant/storage qdrant/qdrantuv run streamlit run main.py
Comments
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