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MCP server · RAG

OmniDoc QA LLM RAG

· github.com/aniketpoojari/OmniDoc-QA-LLM-RAG

Agentic NL-to-SQL assistant using Model Context Protocol (MCP) with multi-layer guardrails and token cost tracking.

Unclaimed agentic-aigroqguardrailslanggraphllm-securitymcpmodel-context-protocolnl-to-sql
InstallView source
34Low

Scored 11 hours ago · breakdown

About OmniDoc QA LLM RAG

OmniDoc QA LLM RAG is an MCP server in the RAG category: agentic NL-to-SQL assistant using Model Context Protocol (MCP) with multi-layer guardrails and token cost tracking. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/aniketpoojari/OmniDoc-QA-LLM-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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  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
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Questions

About OmniDoc QA LLM RAG

How do I install OmniDoc QA LLM RAG?

Run git clone https://github.com/aniketpoojari/OmniDoc-QA-LLM-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 OmniDoc QA LLM 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 OmniDoc QA LLM RAG still maintained?

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