Google PageRank for AI agents. 25,000+ tools indexed.

Agentic_RAG MCP Server

kavyasri-12/Agentic_RAG

Score: 23.7 Rank #15811 Search & RAG
Are you the maintainer of kavyasri-12/Agentic_RAG? Claim this listing →

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.

Add AgentRank to Claude Code Discover and compare tools like kavyasri-12/Agentic_RAG — your AI finds the right one automatically
Get API Access →
claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

kavyasri-12/Agentic_RAG is a Python MCP server. 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.

Ranked #15811 out of 25022 indexed tools.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 1

1 stars → early stage

Freshness 25% 1y ago

Last commit 1y ago → stale

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 0
Description Detailed
License None

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

License low impact

Add an MIT or Apache-2.0 license to signal trust and enable adoption

Freshness high impact

Last commit was 437 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Badge all embed codes →

AgentRank score for kavyasri-12/Agentic_RAG
[![AgentRank](https://agentrank-ai.com/api/badge/tool/kavyasri-12--Agentic_RAG)](https://agentrank-ai.com/tool/kavyasri-12--Agentic_RAG/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)
<a href="https://agentrank-ai.com/tool/kavyasri-12--Agentic_RAG/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/kavyasri-12--Agentic_RAG" alt="AgentRank"></a>

Embed Widget docs →

Embed a rich score widget on your site or blog.

<script src="https://agentrank-ai.com/embed.js" data-tool="kavyasri-12/Agentic_RAG"></script>

Matched Queries

"model context protocol""model-context-protocol"

Get the weekly AgentRank digest

Top movers, new tools, ecosystem insights — straight to your inbox.