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MCP server · RAG

Agentic Rag

Agentic RAG Chatbot with MCP is a multi-format document QA system built using an agent-based architecture with message passing through the Model Context Protocol (MCP). It enables users to upload documents (PDF, DOCX, PPTX, CSV, TXT) and ask natural language questions, receiving accurate answers grounded in document context.

Unclaimed rag
34Low

Scored 2 hours ago · breakdown

About Agentic Rag

Agentic Rag is an MCP server in the RAG category: agentic RAG Chatbot with MCP is a multi-format document QA system built using an agent-based architecture with message passing through the Model Context Protocol (MCP). It enables users to upload documents (PDF, DOCX, PPTX, CSV, TXT) and ask natural language questions, receiving accurate answers grounded in document context. It has been installed 0 times through Conduid.

The repository has 4 stars and 0 forks.

Install

Clone
git clone https://github.com/ravisane/mcp-agentic-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.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.
Questions

About Agentic Rag

How do I install Agentic Rag?

Run git clone https://github.com/ravisane/mcp-agentic-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 Agentic 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 Agentic Rag still maintained?

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