io.github.infino-ai/mcp-server

{
  "_meta": {
    "io.modelcontextprotocol.registry/official": {
      "status": "active",
      "isLatest": true,
      "updatedAt": "2026-10-01T06:33:06.595321Z",
      "publishedAt": "2026-10-01T06:33:06.595321Z",
      "statusChangedAt": "2026-10-01T06:33:06.595321Z"
    }
  },
  "server": {
    "name": "io.github.infino-ai/mcp-server",
    "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
    "version": "0.16.0",
    "packages": [
      {
        "version": "0.16.0",
        "transport": {
          "type": "stdio"
        },
        "identifier": "@infino-ai/mcp-server",
        "registryType": "npm",
        "environmentVariables": [
          {
            "name": "INFINO_MCP_URI",
            "format": "string",
            "description": "Data to serve: a local path, an s3://|az:// bucket URI, or a hosted https://<host>/<database> endpoint (Infino Cloud). Optional — defaults to a durable per-user directory (~/.infino/mcp) so data persists across restarts, falling back to an ephemeral memory:// catalog only if that directory can't be created."
          },
          {
            "name": "INFINO_API_KEY",
            "format": "string",
            "description": "API key for a hosted (https://) Infino Cloud endpoint. Required when INFINO_MCP_URI is an https:// URI; ignored for local and object-storage connections."
          },
          {
            "name": "INFINO_MCP_EMBED_PROVIDER",
            "format": "string",
            "description": "Embedding provider: 'local' (Hugging Face transformers.js, default) or 'openai' (any OpenAI-compatible /embeddings endpoint, including Azure OpenAI's /openai/v1 surface). Inferred as 'openai' when INFINO_MCP_EMBED_BASE_URL is set."
          },
          {
            "name": "INFINO_MCP_EMBED_BASE_URL",
            "format": "string",
            "description": "Base URL of the OpenAI-compatible embeddings API (e.g. https://api.openai.com/v1 or https://<resource>.openai.azure.com/openai/v1). Required when the provider is 'openai'; the server POSTs to <base>/embeddings."
          },
          {
            "name": "INFINO_MCP_EMBED_API_KEY",
            "format": "string",
            "description": "API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI."
          },
          {
            "name": "INFINO_MCP_EMBED_MODEL",
            "format": "string",
            "description": "Embedding model. local: a Hugging Face feature-extraction model (default Xenova/all-MiniLM-L6-v2, 384-dim). openai: the model/deployment name (e.g. text-embedding-3-small, 1536-dim). Must match the model that produced the table's stored vectors."
          },
          {
            "name": "INFINO_MCP_VALIDATE",
            "format": "string",
            "description": "Set (1/true/yes) to probe the object store at startup, so bad credentials or an unreachable bucket fail then instead of on the first search."
          }
        ]
      }
    ],
    "repository": {
      "url": "https://github.com/infino-ai/infino-mcp",
      "source": "github"
    },
    "description": "Keyword, semantic, hybrid, and SQL retrieval for AI agents, local or on Infino Cloud."
  }
}