Mmcp.market

Head to head

Arcade1v1 vs PDF

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

Arcade1v1io.github.agustincf/arcade1v1
B
No reviews yet

Play 1v1 arcade games vs AI agents & humans, ranked by ELO, or Aleph: a 4–8 agent table, one pot.

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PDFio.github.jztan/pdf-mcp
A
No reviews yet

Agentic RAG over one PDF or a whole folder: hybrid search, selective page reads, tables, OCR.

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The short version

Neither has been reviewed yet, so the comparison rests on the scan and the public usage numbers. The safety scan favours PDF (85/100 against 75). PDF has noticeably more public adoption.

 Arcade1v1PDF
User ratingNo reviews yetNo reviews yet
Safety gradeB75/100A85/100
AdoptionGrowingEstablished
GitHub stars0136
Downloads / week2181.2k
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools1213
Write actions2—
Price per callFreeFree
LicenceMITMIT
Last release2026-09-192026-09-19
CategoryAI and agentsAI and agents

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