AI Model Lifecycle Index vs OceanToken
A side-by-side look at the AI Model Lifecycle Index and OceanToken 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 OceanToken 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 OceanToken when
- You need dedicated capabilities in the Conversational AI domain.
- You prefer a local stdio subprocess transport.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Conversational AI | Conversational AI |
| Quality signal | 53/100 · Good | 43/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Remote HTTP/SSE | Local subprocess (stdio) |
| Auth | Not declared | Not declared |
| Pricing | Not declared | Not declared |
| Required env vars | None listed | None listed |
| Verified owner | Community listing | Community listing |
| GitHub stars | 0 | 0 |
| Directory activity | 1 views 0 installs 0 upvotes | 0 views 0 installs 0 upvotes |
| Tools | 4 | Not listed |
| Full listing | View AI Model Lifecycle Index | View OceanToken |
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.
OceanToken tools
No tool names declared yet. Check the project README from the listing page.
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"
}
}
}
OceanToken
{
"mcpServers": {
"oceantoken": {
"command": "npx",
"args": [
"-y",
"@oceantoken/cli@latest"
]
}
}
}
Frequently asked questions
AI Model Lifecycle Index is categorized under Conversational AI and uses a remote HTTP/SSE transport. OceanToken belongs to Conversational AI and uses a local stdio subprocess. Pick AI Model Lifecycle Index for conversational ai work and OceanToken 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. OceanToken has no declared pricing — check the project's own site. 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 oceantoken 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. OceanToken has 43/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.