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Head to head

mcp-ts-core vs ai-model-lifecycle-index

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

mcp-ts-coreio.github.cyanheads/mcp-ts-core
C
No reviews yet

Agent-native TypeScript framework for MCP servers.

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ai-model-lifecycle-indexio.github.oscarlopez-gif/ai-model-lifecycle-index
A
No reviews yet

Cross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.

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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 ai-model-lifecycle-index (88/100 against 55). ai-model-lifecycle-index is hosted and callable through the gateway; mcp-ts-core runs on your own machine. mcp-ts-core has noticeably more public adoption.

 mcp-ts-coreai-model-lifecycle-index
User ratingNo reviews yetNo reviews yet
Safety gradeC55/100A88/100
AdoptionEstablishedGrowing
GitHub stars1510
Downloads / week33k–
Runs whereYour machine (local)Hosted (remote)
Gateway-readyNoYes
Tools—4
Write actions——
Price per callFreeFree
LicenceApache-2.0NOASSERTION
Last release2026-09-182026-09-19
CategoryAI and agentsAI and agents

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