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AI Model Lifecycle Index MCP server

online · 100% uptime
by oscarlopez-gif·io.github.oscarlopez-gif/ai-model-lifecycle-index·v0.1.0

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

A88/100grade A
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Safety scan
A88/100

full report

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AI Model Lifecycle Index tools (4)

write = sends, deletes, buys or posts
  • get_model_lifecycle_allFree

    Full cross-vendor lifecycle export (all tracked models). Free during the public preview; metered via x402 when live.

  • is_model_liveFree

    FREE. Fast check of whether an AI model is still callable, plus its sunset date and days remaining. Use before depending on a model at runtime.

  • model_lifecycleFree

    FREE. Lifecycle of one AI model: status (active/preview/deprecated/retired), release/deprecation/shutdown dates, days until shutdown, recommended migration target, and the official source URL.

  • upcoming_deprecationsFree

    FREE. AI models being shut down within the next N days across OpenAI, Anthropic, Google, and Amazon Bedrock, with migration targets. Default 90 days.

Public scan report

scanner v0.1.10 · 2026-10-02 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 398ms20/20
  • Tool poisoning4 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 14 days ago15/15
  • Maintainer identityregistry namespace matches repository owner6/10
Overall 88/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How AI Model Lifecycle Index compares

Against every graded AI and agents MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
88/100
higher than 80% of 4,460 AI and agents servers
Tools
4
the typical AI and agents server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote AI and agents server answers 100%
Response time
49 ms
faster than 96% of 2,331 AI and agents servers

What its tools let an agent do: 4 read

Install AI Model Lifecycle Index in Claude Code, Cursor or VS Code

claude mcp add --transport http ai-model-lifecycle-index https://lifecycle.oscar-lopez.com/mcp
Add to Cursor

What the publisher says

From the AI Model Lifecycle Index repository's README, as published. We do not edit it. Read it on GitHub

AI Model Lifecycle & Deprecation Index

A source-cited, cross-vendor record of AI model lifecycle — is a model still live, when does it sunset, and what's the migration target — across OpenAI, Anthropic, Google (Gemini), and Amazon Bedrock. Every date is transcribed from the provider's own official deprecation/lifecycle page and carries that source URL. Built for agents that need to know, at runtime, whether the model they're about to call still exists.

  • Site: https://data.oscar-lopez.com/model-lifecycle
  • API + MCP host: https://lifecycle.oscar-lopez.com
  • Maintainer: Oscar E. López, Ph.D. (Information Systems, UMass Amherst) — independent project.
  • License: CC BY 4.0 · Cite as: López, O. E. (2026). AI Model Lifecycle & Deprecation Index. data.oscar-lopez.com/model-lifecycle

Coverage

71 models across 4 providers (active / preview / deprecated / retired), with status, release / deprecation / shutdown dates, and provider-recommended replacements. Verified 2026-09-08.

REST endpoints (free)

  • GET /v1/lifecycle/model?id=ID — one model: status, dates, days-to-shutdown, replacement, source
  • GET /v1/lifecycle/deprecations?within_days=90 — models shutting down within N days
  • GET /v1/lifecycle/provider?provider=openai|anthropic|google|aws-bedrock — a provider's models
  • GET /v1/lifecycle/stats — counts by provider/status + next shutdown
  • GET /v1/lifecycle/all — full export (free during the public preview; metered via x402 when live)

MCP tools

Endpoint: https://lifecycle.oscar-lopez.com/mcp

  • model_lifecycle — full lifecycle of one model (free)
  • ismodellive — is a model still callable, with its sunset date (free)
  • upcoming_deprecations — models sunsetting within N days across all providers (free)
  • getmodellifecycle_all — full export (free during preview)

Discovery

/.well-known/agent-card.json (A2A), /.well-known/x402, /openapi.json

How it's built

Cloudflare Worker + D1. The index is derived live from a models table; days-until-shutdown is computed at request time. Values come from official provider pages only; fields a provider doesn't publish are left blank rather than inferred. A model's lifecycle on a hosting platform (e.g. Amazon Bedrock) can differ from the model-maker's own API — each row records which surface it describes.

Nothing above is checked by us. What we check is on the safety report.

AI Model Lifecycle Index: common questions

Is AI Model Lifecycle Index MCP server safe?
Yes, by our scan: it is graded A (88/100). Read the AI Model Lifecycle Index safety report
How do I install AI Model Lifecycle Index?
It runs remotely at lifecycle.oscar-lopez.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does AI Model Lifecycle Index need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is AI Model Lifecycle Index maintained?
The last commit was 46 days ago (2026-09-19). The latest release is v0.1.0.
Is AI Model Lifecycle Index up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of AI Model Lifecycle Index?
Servers from other publishers that do the same job: Agent Comms MCP server.
How does AI Model Lifecycle Index compare with other AI and agents MCP servers?
safety score 88/100 (higher than 80% of 4,460 AI and agents servers); tools 4 (the typical AI and agents server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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