MCP server

Epoch Ai Models

io.github.pipeworx-io/epoch-ai-models

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Epoch AI — AI models database

From the maker's README AI model facts — organization, release date, parameter count, training-compute (FLOP) estimate, hardware, accessibility — looked up by name, searched by organization/domain/year/compute threshold, or aggregated into a yearly training-compute trend. Source

Website Source

At a glance

Type

MCP server

Publisher

pipeworx.io (verified by the MCP Registry)

Status

Working at last check

Tools

45

Token cost

About 26,963 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http epoch-ai-models https://gateway.pipeworx.io/epoch-ai-models/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.epoch-ai-models]
url = "https://gateway.pipeworx.io/epoch-ai-models/mcp"

Gemini CLI

{"mcpServers":{"epoch-ai-models":{"httpUrl":"https://gateway.pipeworx.io/epoch-ai-models/mcp"}}}

Cursor

{"mcpServers":{"epoch-ai-models":{"url":"https://gateway.pipeworx.io/epoch-ai-models/mcp"}}}

VS Code

{"servers":{"epoch-ai-models":{"type":"http","url":"https://gateway.pipeworx.io/epoch-ai-models/mcp"}}}

Antigravity

agy mcp add epoch-ai-models https://gateway.pipeworx.io/epoch-ai-models/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"epoch-ai-models","server_url":"https://gateway.pipeworx.io/epoch-ai-models/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"epoch-ai-models","server_url":"https://gateway.pipeworx.io/epoch-ai-models/mcp"}

Tools

• ai_compute_trend ~168 tokens
  Yearly training-compute trend from Epoch AI's models database: for each year, the number of models with a compute estimate, the largest training run (FLOP) that year, and which model set it. Optionally filtered by domain and a starting year.
• ai_model ~170 tokens
  Look up one AI model in Epoch AI's models database by name — organization, release date, parameter count, training-compute (FLOP) estimate, hardware, accessibility. Resolves dated variants (e.g. "GPT-4" matches Epoch AI's "GPT-4 (Mar 2023)" row). An unmatched name returns found:false with the closes
• ai_models_search ~322 tokens
  Search/filter Epoch AI's models database by organization, domain (e.g. "Language", "Vision", "Multimodal"), publication year, and/or a minimum training-compute (FLOP) threshold. Returns newest-first, capped at `limit` (default 50) with count/truncated so a large match set is never silently cut.

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