Powered Agentic RAG Application
FreeNot checkedA fully functional and intelligent application capable of fielding complex queries by dynamically sourcing the best possible context for a truly accurate answer
About
A fully functional and intelligent application capable of fielding complex queries by dynamically sourcing the best possible context for a truly accurate answer leveraging agentic RAG and MCP.
README
Steps to run
- Install Python Libraries:
pip install -r requirements.txt
- Create the
.envFile:
# Add any API keys or secrets here later
FIRECRAWL_API_KEY = ""
OPENAI_API_KEY = ""
- Launch the Vector Database (Qdrant):
docker run -p 6333:6333 -p 6334:6334 -v $(pwd)/qdrant_storage:/qdrant/storage qdrant/qdrant
- Run the server:
python3 mcp_server.py
- To inspect execute:
pnpx @modelcontextprotocol/inspector python3 mcp_server.py
from github.com/agarwalvishal/MCP-Powered-Agentic-RAG-Application
Installing Powered Agentic RAG Application
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/agarwalvishal/MCP-Powered-Agentic-RAG-ApplicationFAQ
Is Powered Agentic RAG Application MCP free?
Yes, Powered Agentic RAG Application MCP is free — one-click install via Unyly at no cost.
Does Powered Agentic RAG Application need an API key?
No, Powered Agentic RAG Application runs without API keys or environment variables.
Is Powered Agentic RAG Application hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Powered Agentic RAG Application in Claude Desktop, Claude Code or Cursor?
Open Powered Agentic RAG Application on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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