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LocalAI MCP server

The free, Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required.

LocalAI is not a separate install. One Activepieces MCP server exposes it alongside 770+ other apps, behind a single URL.

Tools
6
Works with
Any MCP client
Auth
Custom auth
License
MIT, open source
Updated
October 2026

About the LocalAI MCP server

Connect LocalAI once in Activepieces and every action it ships becomes a tool your assistant can call, behind the same server URL as the rest of your apps. Your agent reaches LocalAI and 770+ other apps over a single connection, on our cloud or a self-hosted install.

Tools

LocalAI tools your AI can run

Once connected, your assistant can call any of these LocalAI actions by asking in plain language.

  • Ask LocalAI

    Ask LocalAI anything you want!

    8 fields

  • List Models

    List the models installed on your LocalAI server.

    1 field

  • Create Embedding

    Turn text into a vector for semantic search or clustering.

    2 fields

  • Text to Speech

    Turn text into a spoken audio file.

    5 fields

  • Transcribe Audio

    Turn speech in an audio file into text.

    3 fields

  • Custom API Call

    Make a custom API call to a specific endpoint

    10 fields

Give your assistant LocalAI

Connect LocalAI once and every tool above is callable from Claude, Cursor or any MCP client, behind the same server URL as 770+ other apps. Free to start.

LocalAI MCP, answered.

No. That is the point of it. One Activepieces server exposes LocalAI alongside every other piece you connect, so your client keeps a single connection.

Yes. Activepieces is open source and free to start, and the MCP server is included on every plan, from the free cloud tier to any self-hosted deployment.

Connect LocalAI in Activepieces, enable the server under Settings → MCP Server, then paste your server URL into your client config. It authenticates over OAuth on first use.

It can call 6 tools, including Ask LocalAI, List Models, Create Embedding, and chain them with steps in other apps inside the same run.

Connections use OAuth2 with limited scopes and are stored under 256-bit encryption, with no API to read them back, so an agent gets scoped access rather than your keys.