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RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol MCP Server

dhowfeekhasan/RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol

Score: 25.1 Rank #14350 Search & RAG
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RAG Chatbot is an AI-powered system that allows users to upload multi-format documents and ask questions about their content. Built with an agent-based architecture and uses MCP format (not using the real MCP), it uses document ingestion, semantic retrieval (FAISS), and LLM to provide accurate, contextual answers via via a chat-style Streamlit UI.

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Overview

dhowfeekhasan/RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol is a Python MCP server. RAG Chatbot is an AI-powered system that allows users to upload multi-format documents and ask questions about their content. Built with an agent-based architecture and uses MCP format (not using the real MCP), it uses document ingestion, semantic retrieval (FAISS), and LLM to provide accurate, contextual answers via via a chat-style Streamlit UI.

Ranked #14350 out of 25022 indexed tools.

Ecosystem

Python No license

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 2

2 stars → early stage

Freshness 25% 11mo ago

Last commit 11mo 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 333 days ago — a recent commit would boost your freshness score

Contributors medium impact

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

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AgentRank score for dhowfeekhasan/RAG-Chatbot-for-Multi-Format-Document-QA-using-Model-Context-Protocol
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Matched Queries

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

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