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Head to head

DataSinking vs Scholar RAG MCP

Same numbers we show everywhere else, lined up. Ratings come from users, the grade comes from our scanner, adoption comes from public registries.

DataSinkingio.github.heubme2020/datasinking
A
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Full-text Asian financial reports (China, Korea, Japan) as clean Markdown — 6 tools for RAG agents.

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Scholar RAG MCPio.github.notwhiteblank/scholar-rag-mcp
A
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Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.

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The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. Both score close on the safety scan (92 and 92 out of 100).

 DataSinkingScholar RAG MCP
User ratingNo reviews yetNo reviews yet
Safety gradeA92/100A92/100
AdoptionGrowingGrowing
GitHub stars164
Downloads / week47447
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools6
Write actions
Price per callFreeFree
LicenceMITMIT
Last release2026-09-142026-09-04
CategoryAI and agentsAI and agents

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