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MCP server · RAG

Scientific Rag

by · github.com/davinson-pezo/mcp-scientific-rag

A high-performance, 100% local Retrieval-Augmented Generation (RAG) system built on the Model Context Protocol (MCP). Designed specifically to help AI agents process complex scientific literature with unprecedented accuracy.

Unclaimed llmlocal-aimcpmodel-context-protocolollamapdf-extractionpythonragscientific-researchvector-database
InstallView source
34Low

Scored a month ago · breakdown

About Scientific Rag

Scientific Rag is an MCP server published by davinson-pezo in the RAG category: a high-performance, 100% local Retrieval-Augmented Generation (RAG) system built on the Model Context Protocol (MCP). Designed specifically to help AI agents process complex scientific literature with unprecedented accuracy.

The repository has 1 stars and 0 forks, with the last commit a month ago. Recent commit activity is the strongest signal that reported issues will get attention.

Install

From source
git clone https://github.com/davinson-pezo/mcp-scientific-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.

Tools (6)

clear_knowledge_baseSecurely wipes the local database.

Parameters not published.

index_multiple_pdfsIntelligent extraction and vectorization of up to 10 local PDF files.

Parameters not published.

list_indexed_filesInventory of all documents currently in the local memory.

Parameters not published.

memorize_multiple_textsMemorize a list of text snippets or research notes in a single batch operation.

Parameters not published.

memorize_textStore arbitrary research notes, snippets, or findings directly into memory.

Parameters not published.

search_knowledgeHigh-precision vector similarity search across the scientific knowledge base.

Parameters not published.

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Security checks

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Questions

About Scientific Rag

How do I install Scientific Rag?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Scientific 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 Scientific Rag still maintained?

Yes — the last commit was a month ago. The repository has 1 stars and 0 forks.