How to Use the Fireworks AI MCP in Mastra AI

Build resilient multi-step workflows in Mastra AI using Fireworks AI for fast, reliable logic execution.

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Connect Fireworks AI MCP to Mastra AI

Create your Vinkius account to connect Fireworks AI 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 Fireworks AI with Mastra AI

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Perplexity

Automated Agent Workflows

Plug `chat` and `completion` into your Mastra agents to create complex chains of logic. When a step requires inference, the agent triggers the tool and waits for the specific output. This setup allows for conditional branching based on the model response. You define the flow, and the server handles the execution of every call.

Audio Processing in Agents

Use the `transcribe` tool to turn voice input into actionable text for your automated workflows. Your agents can now ingest audio files and process them as part of a larger, multi-step task. It handles the heavy lifting so your agent code stays clean. Just define the trigger, and the server returns the text once the transcription completes.

Image Generation Pipelines

Incorporate the `image` tool into your agent's toolkit to generate visual assets on demand. It fits into your existing workflow engine just like any other function. Your agent can request an image, receive the output, and store it in your database automatically. It is a direct path from intent to visual result.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Fireworks 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

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

Built-in savings

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lower AI costs

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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 Fireworks AI MCP in Mastra AI

Create a new client instance pointing to your server URL. Once registered, you can spread the available tools into your agent definition and call them during workflow execution.

Yes, you can configure your agent to retry tool calls if a request fails. The server integration supports this by throwing standard errors that the workflow engine recognizes.

Yes, you can enable tool approval for any Fireworks AI call. This pauses the workflow until you verify the output, ensuring full control over high-stakes tasks.

Monitor your token usage through your provider dashboard. Since each tool call is a discrete event, you can log the completion metadata within your workflow history.

The server transmits your workflow state over an isolated, token-authenticated connection. We never persist your sensitive task payloads or user identity information.

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