AI Model Lifecycle Index MCP server
online · 100% uptimeCross-vendor AI model lifecycle: status, sunset dates, and migration targets, source-cited.
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AI Model Lifecycle Index tools (4)
write = sends, deletes, buys or postsget_model_lifecycle_allFreeFull cross-vendor lifecycle export (all tracked models). Free during the public preview; metered via x402 when live.
is_model_liveFreeFREE. 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_lifecycleFreeFREE. 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_deprecationsFreeFREE. 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
- –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
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
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.
Alternatives to AI Model Lifecycle Index
Same job from other publishers: the closest match first, then the best rated.
- Agent CommsCross-harness communication mesh for LLM agents — rooms, DMs, presence, and visibility over TCPnot reviewedEstablishedA