How to Use the Mistral AI MCP in Vercel AI SDK

Q: How do I show Mistral AI batch progress in Vercel AI SDK?

Poll the listbatches tool at set intervals. You can then update your React state based on the status field returned for each job.

Q: How do I filter content using Mistral AI in Vercel AI SDK?

Pass user input through the moderate tool before processing. It returns safety scores you can use to allow or block content.

Stream Mistral AI model responses and batch job data directly into your Vercel AI SDK frontends with zero latency.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mistral AI MCP to Vercel AI SDK

Create your Vinkius account to connect Mistral AI to Vercel AI SDK 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 Mistral AI with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time chat with Mistral AI

Feed the `chat` tool directly into your streaming UI components. Your users see text tokens appear the moment they arrive from the model. Use the `list_models` tool to swap between specific versions like codestral-latest or mistral-large-latest on the fly. This keeps your interface reactive without waiting for entire requests to finish.

Manage batch jobs in your SDK

Trigger `create_batch` for heavy data processing tasks that run in the background. You don't block the main thread while the server handles the load. Keep track of jobs using `get_batch` and `list_batches` to update your dashboard status. If a request is malformed or no longer needed, call `cancel_batch` to stop it immediately.

Embeddings and content safety

Generate vector representations using `embeddings` for your semantic search features. This happens inside your existing data flow. Run input text through `moderate` before sending it to other services. You catch problematic content before it ever hits your application logs.

Setup guide

Set up Mistral AI MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Mistral AI tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Mistral AI transactions",
});

console.log(text);
await mcpClient.close();

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 Mistral AI. 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 Mistral AI 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 Mistral AI MCP in Vercel AI SDK

Yes. This MCP Server exposes the full toolset for reliable integration. It works within your existing edge function environment.

Poll the `list_batches` tool at set intervals. You can then update your React state based on the status field returned for each job.

Yes, it supports standard streaming patterns. You pipe the output of the `chat` tool into your streamText handler.

Only the specific prompt data and file IDs you explicitly pass to the tools are transmitted. The server does not store your API keys locally.

Pass user input through the `moderate` tool before processing. It returns safety scores you can use to allow or block content.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

Start using the Mistral AI MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started