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Infino-ai

L0· runs locally

Keyword, semantic, hybrid, and SQL retrieval for AI agents, local or on Infino Cloud.

v0.16.0 · active · repository · descriptor JSON · versions

Runs on your machine: something must execute the package.Only local packages are published (npm, PyPI, OCI, …). The registry never executes them, so tools are unknown until you run it.
Quality–not scored
Trust91of 100
Packages1
Tools seen0

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "infino-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@infino-ai/[email protected]"
      ]
    }
  }
}
claude mcp add infino-ai -- npx -y @infino-ai/[email protected]
[mcp_servers.infino-ai]
command = "npx"
args = ["-y", "@infino-ai/[email protected]"]
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "infino-ai": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@infino-ai/[email protected]"
      ],
      "enabled": true
    }
  }
}
{
  "mcpServers": {
    "infino-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@infino-ai/[email protected]"
      ]
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=infino-ai&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBpbmZpbm8tYWkvbWNwLXNlcnZlckAwLjE2LjAiXX0%3D"
}
{
  "servers": {
    "infino-ai": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@infino-ai/[email protected]"
      ]
    }
  }
}
{
  "mcpServers": {
    "infino-ai": {
      "command": "npx",
      "args": [
        "-y",
        "@infino-ai/[email protected]"
      ]
    }
  }
}
extensions:
  "infino-ai":
    enabled: true
    name: "infino-ai"
    type: stdio
    cmd: "npx"
    args:
      - "-y"
      - "@infino-ai/[email protected]"
    timeout: 300

This is a local package: the command runs on your machine.

Quality – / 100not scored

Not scored: fewer than three checks apply, usually because no remote answered a credential-free probe or the server is a local package.

protocoln/a · weight 25
  • n/a
    protocol.modern, protocol.stateless, protocol.transport, protocol.list_ttlno remote answered a protocol handshake (not probed yet, unreachable, or local-only)
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygienen/a · weight 30
  • n/a
    tools.descriptions, tools.description_length, tools.schemas, tools.annotations, tools.directory_hints, tools.token_cost, tools.api_dumptool list unknown (behind auth, not probed, or empty)
stabilityn/a · weight 15
  • n/a
    stability.changes, stability.rug_pulltool list unknown
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvabledeps.dev does not know @infino-ai/[email protected]

Tool list unknown · checked 2026-10-20 10:35 UTC

Tool changes

No tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 91 / 100

provenance80
livenessn/a
freshness100
hygiene100

+repository +namespace-matches-repo ~liveness-unmeasured +updated-19d-ago

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Dependencies

@infino-ai/[email protected] npmthis version is not known to the dependency resolver

Dependency graphs from deps.dev; advisories from OSV.dev, including the GitHub Advisory Database and the PyPI Advisory Database; all CC BY 4.0. The graph is what a clean install of this version resolves today; nothing was installed or run. How it is checked.

Endpoints

packageregistryversionruntimesecrets
@infino-ai/mcp-servernpm0.16.0–

Tools (0)

No tools observed. Local packages are never executed by the registry.

Schemas: list_tools.

Similar MCP servers

More from io.github.infino-ai

Official server.json
{
  "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."
}