Fireworks AI MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Fireworks AI through the 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
Vinkius supports streamable HTTP and SSE.
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 Fireworks AI, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Fireworks AI MCP Server
Connect your Fireworks AI account to any AI agent and take full control of your generative AI inference and high-speed LLM workflows through natural conversation.
The Vercel AI SDK gives every Fireworks AI tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the 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
- Agentic Chat Orchestration — Commands the backend orchestrating absolute explicit strings sending chat messages seamlessly against ultra-fast LLMs hosted on Fireworks AI
- Semantic Embedding Synthesis — Acquire multi-dimensional vector representations for absolute arrays of input strings to perform semantic search and RAG limitlessly
- High-Speed Text Completion — Generate basic textual completions for instructions or prompt continuations utilizing state-of-the-art open-source and proprietary models
- Visual Content Generation — Create high-fidelity images efficiently from text prompts by commanding synchronous inference against Fireworks-hosted image models
- Speech-to-Text Transcription — Transcribe audio files by passing public URLs to be processed by elite speech models, extracting structural textual strings flawlessly
- Model Discovery — Enumerate the list of high-speed models available to retrieve specific model IDs and versions for precise active inference boundaries natively
- Inference Auditing — Monitor model names and capabilities to ensure your AI agents are utilizing the most efficient architectural instances securely
The Fireworks AI MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Fireworks AI to Vercel AI SDK via MCP
Follow these steps to integrate the Fireworks AI MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 6 tools from Fireworks AI and passes them to the LLM
Why Use Vercel AI SDK with the Fireworks AI MCP Server
Vercel AI SDK provides unique advantages when paired with Fireworks AI through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Fireworks AI integration everywhere
Built-in streaming UI primitives let you display Fireworks AI tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Fireworks AI + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Fireworks AI MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Fireworks AI in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Fireworks AI tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Fireworks AI capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Fireworks AI through natural language queries
Fireworks AI MCP Tools for Vercel AI SDK (6)
These 6 tools become available when you connect Fireworks AI to Vercel AI SDK via MCP:
chat
Chat completion using Fireworks AI
completion
Text completion using Fireworks AI
embed
Generate embeddings using Fireworks AI
image
Generate an image using Fireworks AI
list_models
List Fireworks AI models
transcribe
Transcribe audio via Fireworks AI
Example Prompts for Fireworks AI in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Fireworks AI immediately.
"Chat with 'llama-v3-70b': 'Explain quantum entanglement simply.'"
"Generate embeddings for these sentences: ['AI is great', 'MCP is powerful']"
"Generate an image of a cybernetic forest at night"
Troubleshooting Fireworks AI MCP Server with Vercel AI SDK
Common issues when connecting Fireworks AI to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpFireworks AI + Vercel AI SDK FAQ
Common questions about integrating Fireworks AI MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Fireworks AI with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Fireworks AI to Vercel AI SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.