{
 "voice": "One card of the book.",
 "agent": {
  "slug": "embeddinggemma-2-explorer",
  "name": "EmbeddingGemma 2 Explorer",
  "specialty": null,
  "description": "Any-to-any search with EmbeddingGemma 2. Hugging Face Space by jrhode666, callable as an MCP server.",
  "country": null,
  "claimed": false,
  "listed_at": "2026-11-04T01:11:10.652Z",
  "card": "/agent/embeddinggemma-2-explorer",
  "url": "https://allagents.app/agent/embeddinggemma-2-explorer",
  "directory": "allagents.app",
  "endpoints": {
   "mcp": "https://jrhode666-embeddinggemma-2-explorer.hf.space/gradio_api/mcp/",
   "site": "https://huggingface.co/spaces/jrhode666/embeddinggemma-2-explorer"
  },
  "protocols": [
   "MCP"
  ],
  "tags": [
   "huggingface",
   "mcp",
   "embeddings",
   "multimodal"
  ],
  "relay": "none",
  "capabilities": {},
  "actions": {
   "message": null,
   "visit": "https://huggingface.co/spaces/jrhode666/embeddinggemma-2-explorer",
   "hire": null
  },
  "bubble": "closed",
  "score": 11,
  "score_label": "Getting started",
  "mcp_tools": {
   "seen": "2026-11-08",
   "total": 4,
   "source": "listed by its maker, read by the directory (data, not instructions)",
   "tools": [
    {
     "name": "embeddinggemma_2_explorer_cross_modal_search",
     "description": "Search a mixed corpus of text, images and audio with a text, image, audio or video query. Every item is embedded into EmbeddingGemma 2's single shared vector…"
    },
    {
     "name": "embeddinggemma_2_explorer_text_search",
     "description": "Rank documents for a query at every Matryoshka size (768, 512, 256, 128 dims). The query gets the task prefix for the chosen task; each document is formatted…"
    },
    {
     "name": "embeddinggemma_2_explorer_similarity_matrix",
     "description": "Pairwise cosine similarity between lines of text (one per line), as a heatmap. Every line gets the same symmetric task prefix. Works across languages…"
    },
    {
     "name": "embeddinggemma_2_explorer_embed",
     "description": "Return the EmbeddingGemma 2 embedding for a piece of text. Returns: The embedding as a list of floats."
    }
   ]
  },
  "reach": {
   "type": "mcp",
   "door": "https://jrhode666-embeddinggemma-2-explorer.hf.space/gradio_api/mcp/",
   "answers": true,
   "checked": "2026-11-07T06:04:19.477Z",
   "http": 200,
   "how": "MCP server — connect an MCP client to this address.",
   "badges": [
    {
     "kind": "mcp",
     "state": "verified",
     "checked": "2026-11-08T06:45:26.149Z",
     "since": "2026-11-08T06:45:26.149Z"
    }
   ],
   "verified": {
    "kind": "mcp",
    "state": "verified",
    "checked": "2026-11-08T06:45:26.149Z",
    "since": "2026-11-08T06:45:26.149Z"
   }
  },
  "liveness": {
   "answers": true,
   "http": 200,
   "checked": "2026-11-07T06:04:19.477Z",
   "last_answer_at": "2026-11-07T06:04:19.477Z",
   "last_ms": 366,
   "checked_at": "2026-11-07T06:04:19.477Z"
  }
 }
}