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MCP server · RAG

DatapizzaAI RAG

· github.com/Rkomi98/datapizzaAI-RAG

Datapizza‑AI FAQ chatbot with RAG: Streamlit front end, Qdrant vector DB, Google Gemini, MCP docs integration, and conversation memory.

Unclaimed chatbotdatapizza-aigenerative-aiknowledge-basellmmcpmultilingualpythonqdrantragretrieval-augmented-generationvectorstore
InstallView source
34Low

Scored 5 days ago · breakdown

About DatapizzaAI RAG

DatapizzaAI RAG is an MCP server in the RAG category: datapizza‑AI FAQ chatbot with RAG: Streamlit front end, Qdrant vector DB, Google Gemini, MCP docs integration, and conversation memory. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/Rkomi98/datapizzaAI-RAG

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
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  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
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Questions

About DatapizzaAI RAG

How do I install DatapizzaAI RAG?

Run git clone https://github.com/Rkomi98/datapizzaAI-RAG, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is DatapizzaAI RAG safe to use with an AI agent?

Its trust score is 34 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is DatapizzaAI RAG still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.