AI Model Lifecycle Index vs Llmintel MCP
A side-by-side look at the AI Model Lifecycle Index and Llmintel MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose AI Model Lifecycle Index for conversational ai work over a hosted endpoint; choose Llmintel MCP for conversational ai as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose AI Model Lifecycle Index when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a remote HTTP/SSE transport.
- You want tools like
model_lifecycle, is_model_live, upcoming_deprecations.
Choose Llmintel MCP when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
LLMINTEL_API_KEY, LLMINTEL_BASE_URL. - You want tools like
check_model, list_retiring_models, suggest_replacement.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 53/100 · Good | 57/100 · Good |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | None listed | LLMINTEL_API_KEYLLMINTEL_BASE_URL |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 1 |
| Directory activity | 1 views 0 installs 0 upvotes | 3 views 0 installs 0 upvotes |
| Tools | 4 | 5 |
| Full listing | View AI Model Lifecycle Index | View Llmintel MCP |
Tools & capabilities
AI Model Lifecycle Index tools 4
model_lifecycleFREE. 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.is_model_liveFREE. 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.upcoming_deprecationsFREE. AI models being shut down within the next N days across OpenAI, Anthropic, Google, and Amazon Bedrock, with migration targets. Default 90 days.get_model_lifecycle_allFull cross-vendor lifecycle export (all tracked models). Free during the public preview; metered via x402 when live.
Llmintel MCP tools 5
check_modelWhether one model id is safe to use: lifecycle state, the retirement deadline in days, the replacement, and the source link.list_retiring_modelsWhat breaks in the next 90 days. Past-due models are listed first, then upcoming ones soonest-first.suggest_replacementThe provider's own recommendation for what to move to. Falls back to same-provider active models when none was published.search_modelsCatalog search filtered by provider and lifecycle state.recent_lifecycle_changesThe change feed across all providers, for questions like "what was deprecated this month".
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
AI Model Lifecycle Index
{
"mcpServers": {
"ai-model-lifecycle-index": {
"url": "https://lifecycle.oscar-lopez.com/mcp"
}
}
}
Llmintel MCP
{
"mcpServers": {
"hivemindunit-llmintel-mcp": {
"command": "npx",
"args": [
"-y",
"@llmintel/mcp"
],
"env": {
"LLMINTEL_API_KEY": "YOUR_LLMINTEL_API_KEY_HERE",
"LLMINTEL_BASE_URL": "YOUR_LLMINTEL_BASE_URL_HERE"
}
}
}
}
Frequently asked questions
AI Model Lifecycle Index is categorized under Conversational AI and uses a remote HTTP/SSE transport. Llmintel MCP belongs to Conversational AI and uses a local stdio subprocess. Pick AI Model Lifecycle Index for conversational ai work and Llmintel MCP for conversational ai.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
AI Model Lifecycle Index has no declared pricing — check the project's own site. Llmintel MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add ai-model-lifecycle-index and hivemindunit-llmintel-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, AI Model Lifecycle Index has a quality signal of 53/100 (Good) with 1 views, 0 installs and 0 GitHub stars. Llmintel MCP has 57/100 (Good) with 3 views, 0 installs and 1 GitHub stars.