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AI-docs-assistant MCP Server

Sibuninja/AI-docs-assistant

Score: 23.8 Rank #15666 Search & RAG
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This project demonstrates a complete Retrieval-Augmented Generation (RAG) pipeline built using LangChain, Groq’s ultra-fast LLaMA3-8B, and HuggingFace sentence-transformers to enable smart question-answering over your own PDF files. The architecture follows the Model Context Protocol (MCP), ensuring modular separation between the data ingestion, e

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Overview

Sibuninja/AI-docs-assistant is a Python MCP server. This project demonstrates a complete Retrieval-Augmented Generation (RAG) pipeline built using LangChain, Groq’s ultra-fast LLaMA3-8B, and HuggingFace sentence-transformers to enable smart question-answering over your own PDF files. The architecture follows the Model Context Protocol (MCP), ensuring modular separation between the data ingestion, e

Ranked #15666 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 411 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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Matched Queries

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

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