How do I install Infino?

Infino is a local plugin. Install it using npm package: @infino-ai/mcp-server and add the generated configuration snippet to your AI app's MCP config file. Then restart your AI app.

Is Infino safe to use?

Yes. Infino passed MCP Marketplace's automated security scan with a score of 7.2/10 (low risk). Every server on MCP Marketplace is security-scanned before it's listed; see the full security report on this page for the findings and permissions.

What credentials does Infino need?

Infino requires the following credentials or environment variables: INFINO_MCP_URI, INFINO_API_KEY, INFINO_MCP_EMBED_PROVIDER, INFINO_MCP_EMBED_BASE_URL, INFINO_MCP_EMBED_API_KEY, INFINO_MCP_EMBED_MODEL, INFINO_MCP_VALIDATE. You can find setup instructions on the server detail page.

What AI apps work with Infino?

Infino uses the Model Context Protocol (MCP) and works with any MCP-compatible AI app, including Claude, ChatGPT / Codex, Gemini, Copilot, Cursor, and more.

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Infino MCP Server

by Infino Ai

Developer ToolsModerate7.2MCP RegistryLocal

Free

Server data from the Official MCP Registry

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

About

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

Security Report

7.2

Moderate7.2Low Risk

The Infino MCP server is a retrieval/search server for Infino data with env-based configuration, API key handling for hosted endpoints, and local embeddings that keep query text on-machine by default. Reviewed code shows no exfiltration, shell execution, or hardcoded secrets; the main considerations are full write access without a server-side gate (by design, documented with destructive annotations), and that the server sends text to a user-configured external embedding endpoint when the openai provider is selected. Permissions (network_http, file_read/file_write for local catalogs, env_vars for credentials) match the stated purpose. Supply chain analysis found 1 known vulnerability in dependencies (0 critical, 1 high severity). Package verification found 1 issue.

3 files analyzed · 6 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

env_vars

Check that this permission is expected for this type of plugin.

database

Check that this permission is expected for this type of plugin.

system_info

Check that this permission is expected for this type of plugin.

What You'll Need

Set these up before or after installing:

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.Optional

Environment variable: INFINO_MCP_URI

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.Optional

Environment variable: INFINO_API_KEY

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.Optional

Environment variable: INFINO_MCP_EMBED_PROVIDER

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.Optional

Environment variable: INFINO_MCP_EMBED_BASE_URL

API key for the 'openai' provider. Sent as both Authorization: Bearer and api-key so one value works for OpenAI and Azure OpenAI.Optional

Environment variable: INFINO_MCP_EMBED_API_KEY

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.Optional

Environment variable: INFINO_MCP_EMBED_MODEL

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.Optional

Environment variable: INFINO_MCP_VALIDATE

How to Install

Add this to your MCP configuration file:

{
  "mcpServers": {
    "io-github-infino-ai-mcp-server": {
      "env": {
        "INFINO_API_KEY": "your-infino-api-key-here",
        "INFINO_MCP_URI": "your-infino-mcp-uri-here",
        "INFINO_MCP_VALIDATE": "your-infino-mcp-validate-here",
        "INFINO_MCP_EMBED_MODEL": "your-infino-mcp-embed-model-here",
        "INFINO_MCP_EMBED_API_KEY": "your-infino-mcp-embed-api-key-here",
        "INFINO_MCP_EMBED_BASE_URL": "your-infino-mcp-embed-base-url-here",
        "INFINO_MCP_EMBED_PROVIDER": "your-infino-mcp-embed-provider-here"
      },
      "args": [
        "-y",
        "@infino-ai/mcp-server"
      ],
      "command": "npx"
    }
  }
}

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4.8

Local

MCP Marketplace

Free

by mcp-marketplace · Developer Tools

Search and install MCP servers from inside your AI client.

Infino MCP Server

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Security Report

Findings (6)Action required

Permissions Required

What You'll Need

How to Install

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