mcp-server — MCP Server 安装配置（官方 MCP Registry）

{
  "id": "io.github.infino-ai/mcp-server",
  "type": "mcp-server",
  "version": "0.2.0",
  "displayName": "mcp-server",
  "description": "Keyword, vector, hybrid, and SQL retrieval over data on object storage, for AI agents.",
  "repository": {
    "url": "https://github.com/infino-ai/infino-mcp",
    "source": "github"
  },
  "distribution": {
    "packages": [
      {
        "registryType": "npm",
        "identifier": "@infino-ai/mcp-server",
        "version": "0.2.0",
        "transport": "stdio",
        "environmentVariables": [
          {
            "name": "INFINO_MCP_URI",
            "description": "Data to serve: a local path or an s3://|az:// bucket URI. 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_MCP_ENABLE_WRITES",
            "description": "Set (1/true/yes) to expose add/update/delete tools and allow DDL/DML through SQL. Read-only when unset."
          },
          {
            "name": "INFINO_MCP_EMBED_MODEL",
            "description": "Hugging Face feature-extraction model for local embedding (default Xenova/all-MiniLM-L6-v2, 384-dim)."
          },
          {
            "name": "INFINO_MCP_VALIDATE",
            "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."
          }
        ]
      }
    ],
    "remotes": []
  },
  "dependencies": [],
  "installTargets": [
    "claude-code",
    "claude-desktop",
    "cursor",
    "vscode"
  ],
  "keywords": [],
  "provenance": {
    "origin": "official-mcp-registry",
    "originalId": "io.github.infino-ai/mcp-server",
    "originalUrl": "https://registry.modelcontextprotocol.io/v0.1/servers/io.github.infino-ai%2Fmcp-server/versions/latest",
    "isOfficial": true,
    "status": "active"
  }
}