How to Use the Fireworks AI MCP in Pydantic AI

Q: How do I configure Fireworks AI in Pydantic AI?

You use MCPToolset to connect to the server endpoint. Once connected, your agent can call the 6 available tools with full support for your defined Pydantic models.

Get type-safe inference for Pydantic AI agents using the Fireworks AI MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Fireworks AI MCP to Pydantic AI

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe tool execution

Every response from `chat` and `completion` is validated against your Pydantic models. You catch malformed data before it ever touches your agent's state. This prevents the silent corruption issues that plague less strict implementations. If the model output doesn't match your schema, the agent stops immediately.

Reliable multimodal integration

Use the `image` and `transcribe` tools within your Pydantic AI workflow. Since these are standard MCP tools, they respect the same validation logic as your text calls. You get clean, typed data back from every request. It turns complex media tasks into simple, predictable Python objects for your agent to use.

Model-agnostic embedding support

Generate embeddings using the `embed` tool and validate them against your expected types. This ensures your vector storage always receives the correct dimensions. This keeps your data pipeline consistent. You define the model, the server handles the call, and your agent ensures the output is ready for production.

Setup guide

Set up Fireworks AI MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "fireworks-ai-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Fireworks AI tools.",
)

result = await agent.run("List recent Fireworks AI transactions")
print(result.output)

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 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

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

Connect Fireworks 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 Fireworks AI MCP in Pydantic AI

It does. Because the server follows the MCP standard, your Pydantic AI agent treats every tool response as a potentially typed object, allowing for rigorous runtime checks.

You use `MCPToolset` to connect to the server endpoint. Once connected, your agent can call the 6 available tools with full support for your defined Pydantic models.

Yes, you can swap your inference backend to this server. It provides the same tool interface, so your agent's logic remains unchanged while you benefit from faster inference.

The server uses a memory-only, ephemeral runtime. Your request payloads are never written to disk, ensuring that your raw prompts and responses remain isolated.

Your Pydantic AI agent will trigger a validation error. This is intentional, as it prevents your system from processing hallucinated fields or corrupted JSON.

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