Mmcp.market

Head to head

AI Model Retirement Lint vs Local Rag

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

AI Model Retirement Lintio.github.jmshinhwa/ai-model-retirement-lint
A
No reviews yet

Finds the LLM model IDs pinned in your code that vendors have already switched off, or have dated to

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Local Ragio.github.shinpr/mcp-local-rag
A
No reviews yet

Easy-to-setup local RAG server with minimal configuration

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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 (89 and 92 out of 100). Local Rag has noticeably more public adoption.

 AI Model Retirement LintLocal Rag
User ratingNo reviews yetNo reviews yet
Safety gradeA89/100A92/100
AdoptionNewEstablished
GitHub stars0400
Downloads / week4.8k
Runs whereYour machine (local)Your machine (local)
Gateway-readyNoNo
Tools9
Write actions1
Price per callFreeFree
LicenceNOASSERTIONMIT
Last release2026-09-192026-09-18
CategoryAI and agentsAI and agents

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