How to Use the LocalAI MCP in Mastra AI

Q: Can Mastra AI handle LocalAI authentication?

Yes. You can manage your tokens through the getauthstatus tool. Mastra handles the secure transmission of these credentials to your local server.

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Connect LocalAI MCP to Mastra AI

Create your Vinkius account to connect LocalAI to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LocalAI with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Complex workflow orchestration

Chain multiple tools like `chat_completions` and `rerank_documents` into a single Mastra AI workflow. You define the logic, and the agent executes it locally. Failures trigger automatic retries. Your system stays running even if a specific model request hits a timeout.

Human-in-the-loop verification

Use `face_verify` or `face_identify` within your agent workflows. Require approval before the agent proceeds to the next step. This keeps your operations safe. You decide when the agent acts and when it waits for your input.

Autonomous document reranking

Sort your local knowledge base using `rerank_documents` without sending files to the cloud. Your Mastra AI agent pulls data from your local storage and processes it instantly. This keeps your data private. You get accurate results without the latency of external network calls.

Setup guide

Set up LocalAI MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All LocalAI tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "localai-mcp-client",
  servers: {
    "localai-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "LocalAI Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to LocalAI tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent LocalAI transactions"
);
console.log(result.text);

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place for every integration

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Common questions about LocalAI MCP in Mastra AI

Add the MCP client to your Mastra agent definition. Once connected, the agent automatically detects all 19 available tools for use in your workflows.

Yes. You can manage your tokens through the `get_auth_status` tool. Mastra handles the secure transmission of these credentials to your local server.

It is, provided your hardware has the VRAM for the models you select. You can set up conditional branches that route tasks based on the model output.

The server processes all requests locally on your machine. No documents, images, or audio files ever leave your network during the workflow execution.

Mastra catches the error. You can configure the workflow to retry the operation or jump to a fallback process immediately.

Use it with your favorite AI tools

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