How to Use the LibreChat MCP in Mastra AI

Q: Does Mastra AI support LibreChat tool approval?

You set the requireToolApproval flag in your client config. This forces the framework to wait for your confirmation before calling chatcompletions.

Build resilient multi-step workflows in Mastra AI using your LibreChat agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect LibreChat MCP to Mastra AI

Create your Vinkius account to connect LibreChat 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.

GDPR Free for Subscribers

Setup LibreChat with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Automated LibreChat agent workflows

Chain your agents together using Mastra AI's workflow engine. You call `chat_completions` as a single step in a larger sequence that handles logic and branching. If a request fails, the framework retries it automatically. It makes your LibreChat operations reliable enough for production environments.

Mastra AI tool discovery

Run `list_models` to pull your available agents into the Mastra AI agent registry. It turns your LibreChat setup into a set of modular tools. Everything is typed in TypeScript. You get autocomplete for every tool, which stops you from guessing function parameters.

Human-in-the-loop with LibreChat

Require manual approval before executing sensitive tasks using `open_responses`. You can halt the workflow until someone clicks the button. This gives you control over what your agents do. You prevent mistakes before they happen by gating the tool execution.

Setup guide

Set up LibreChat 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 LibreChat 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: "librechat-mcp-client",
  servers: {
    "librechat-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LibreChat. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect LibreChat now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LibreChat MCP in Mastra AI

You instantiate the MCP client with your server URL and inject the tools into your agent definition. It maps your LibreChat functions to the Mastra engine.

You set the `requireToolApproval` flag in your client config. This forces the framework to wait for your confirmation before calling `chat_completions`.

You can. Once you list the models, they appear as callable tools that you distribute across your agent crew.

The framework wraps your tool calls in a retry logic layer. If a call to `open_responses` times out, it executes your backoff strategy.

The server uses ephemeral connections for every request. No session data is persisted; your credentials stay within your own infrastructure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python