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Cerebras Inference MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 15 tools to Cancel Batch, Create Batch, Create Chat Completion, and more

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The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Cerebras Inference through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Ask AI about this MCP Server for Vercel AI SDK

The Cerebras Inference MCP Server for Vercel AI SDK is a standout in the Ai Frontier category — giving your AI agent 15 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Cerebras Inference, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Cerebras Inference
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High SecurityEnterprise-grade
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EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cerebras Inference MCP Server

Connect to the Cerebras Inference platform to leverage the world's fastest AI inference. This MCP server allows your AI agent to interact with state-of-the-art models like Llama 3.1 and others using the Cerebras Wafer-Scale Engine (WSE) for unprecedented performance.

The Vercel AI SDK gives every Cerebras Inference tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 15 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Chat & Text Completions — Generate high-speed responses using create_chat_completion and create_completion with support for streaming and tool calling.
  • Model Discovery — Explore available models and their specific details using list_models and get_model to choose the best fit for your task.
  • Batch Processing — Handle large-scale workloads asynchronously with create_batch, list_batches, and cancel_batch for efficient data processing.
  • File Management — Upload and manage JSONL files for batch jobs using upload_file and list_files directly from your agent.
  • Performance Metrics — Monitor your usage and performance metrics to optimize your inference workflows.

The Cerebras Inference MCP Server exposes 15 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 15 Cerebras Inference tools available for Vercel AI SDK

When Vercel AI SDK connects to Cerebras Inference through Vinkius, your AI agent gets direct access to every tool listed below — spanning llm-inference, wafer-scale, high-speed-ai, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

cancel

Cancel batch on Cerebras Inference

Cancel a batch job

create

Create batch on Cerebras Inference

Create a batch job for asynchronous processing

create

Create chat completion on Cerebras Inference

Generate conversational responses using a structured message format

create

Create completion on Cerebras Inference

Generate text continuations from a single prompt string

delete

Delete file on Cerebras Inference

Delete a file

get

Get batch on Cerebras Inference

Retrieve status of a batch job

get

Get file on Cerebras Inference

Retrieve metadata for a specific file

get

Get file content on Cerebras Inference

Download raw content of a file

get

Get metrics on Cerebras Inference

Retrieve Prometheus-formatted operational metrics

get

Get model on Cerebras Inference

Fetches details for a specific model

list

List batches on Cerebras Inference

List all batch jobs

list

List files on Cerebras Inference

List uploaded files

list

List models on Cerebras Inference

Lists all currently available models

list

List public models on Cerebras Inference

Retrieve model details without an API key

upload

Upload file on Cerebras Inference

Upload a JSONL file for Batch processing

Connect Cerebras Inference to Vercel AI SDK via MCP

Follow these steps to wire Cerebras Inference into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 15 tools from Cerebras Inference and passes them to the LLM

Why Use Vercel AI SDK with the Cerebras Inference MCP Server

Vercel AI SDK provides unique advantages when paired with Cerebras Inference through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Cerebras Inference integration everywhere

03

Built-in streaming UI primitives let you display Cerebras Inference tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Cerebras Inference + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Cerebras Inference MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Cerebras Inference in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Cerebras Inference tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Cerebras Inference capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Cerebras Inference through natural language queries

Example Prompts for Cerebras Inference in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Cerebras Inference immediately.

01

"List all available models on Cerebras."

02

"Generate a chat response using llama3.1-8b explaining quantum entanglement."

03

"Check the status of my batch job with ID 'batch_abc123'."

Troubleshooting Cerebras Inference MCP Server with Vercel AI SDK

Common issues when connecting Cerebras Inference to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Cerebras Inference + Vercel AI SDK FAQ

Common questions about integrating Cerebras Inference MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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