AI & Machine Learning
models.rip
An MCP server for exploring models.rip, an archive of retired AI models and dead benchmarks with details on graves, providers, and departed models.
ENDPOINT 1
https://models.rip/mcp
MCP server metadata
- Name
- models-rip
- Version
- 1.0.0
models.rip is an archive of AI models that are no longer served. Use it to answer what happened to a specific model and when, what replaced it, which dated snapshot ids a model absorbed, and which models are scheduled to be shut off next. Every date is the one the provider itself published, and every grave cites the provider page it came from. Call cemetery_overview first if you have not used this server before. Use search_graves when you do not know the exact slug — it matches retired snapshot ids too, so a model id someone pinned in production will find its grave. Use get_grave for the full record. An absence is an answer: a model with any snapshot still answering in its maker's own lineup is not buried here, and neither are fine-tunes, rehosts or reseller listings. Do not use this server to check whether an API is up right now, or to compare models that are alive.
Known tools 4
get_graveThe full record of one grave at models.rip: its epitaph, its launch and retirement dates, the shutdown date its provider published, its successor, its pricing and context window, and the provider pages every date is cited from.
Inferred read-onlylist_plotsEvery provider with a plot at models.rip and how many models each has buried, largest first, plus the benchmarks plot.
Inferred read-onlycemetery_overviewWhat this archive is, what it deliberately leaves out, how many graves it holds, and where the raw dataset lives.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.models-rip]
url = "https://models.rip/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"models-rip": {
"type": "http",
"url": "https://models.rip/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: models-rip
Remote MCP URL: https://models.rip/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"models-rip": {
"url": "https://models.rip/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"models-rip": {
"type": "http",
"url": "https://models.rip/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "models-rip",
"transport": "streamable-http",
"url": "https://models.rip/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
ENDPOINT 2
https://models.rip/.well-known/mcp
MCP server metadata
- Name
- models-rip
- Version
- 1.0.0
models.rip is an archive of AI models that are no longer served. Use it to answer what happened to a specific model and when, what replaced it, which dated snapshot ids a model absorbed, and which models are scheduled to be shut off next. Every date is the one the provider itself published, and every grave cites the provider page it came from. Call cemetery_overview first if you have not used this server before. Use search_graves when you do not know the exact slug — it matches retired snapshot ids too, so a model id someone pinned in production will find its grave. Use get_grave for the full record. An absence is an answer: a model with any snapshot still answering in its maker's own lineup is not buried here, and neither are fine-tunes, rehosts or reseller listings. Do not use this server to check whether an API is up right now, or to compare models that are alive.
Known tools 4
get_graveThe full record of one grave at models.rip: its epitaph, its launch and retirement dates, the shutdown date its provider published, its successor, its pricing and context window, and the provider pages every date is cited from.
Inferred read-onlylist_plotsEvery provider with a plot at models.rip and how many models each has buried, largest first, plus the benchmarks plot.
Inferred read-onlycemetery_overviewWhat this archive is, what it deliberately leaves out, how many graves it holds, and where the raw dataset lives.
Inferred read-onlyCONNECT WITH APPROVAL
Client installation
Review this server and its permissions before adding it. Secret placeholders must be set locally.
Codex
~/.codex/config.toml
[mcp_servers.models-rip]
url = "https://models.rip/.well-known/mcp"
enabled = true
Claude Code
.mcp.json
{
"mcpServers": {
"models-rip": {
"type": "http",
"url": "https://models.rip/.well-known/mcp"
}
}
}
Claude Desktop
Settings → Connectors → Add custom connector
Name: models-rip
Remote MCP URL: https://models.rip/.well-known/mcp
Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.
Cursor
.cursor/mcp.json
{
"mcpServers": {
"models-rip": {
"url": "https://models.rip/.well-known/mcp"
}
}
}
Visual Studio Code
.vscode/mcp.json
Add to Visual Studio Code{
"servers": {
"models-rip": {
"type": "http",
"url": "https://models.rip/.well-known/mcp"
}
}
}
Generic MCP
Client-specific MCP configuration
{
"name": "models-rip",
"transport": "streamable-http",
"url": "https://models.rip/.well-known/mcp"
}
MCP Inspector
Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.
TRUST AND VERIFICATION EVIDENCE
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