Fireworks AI MCP Server for OpenAI Agents SDK 6 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Fireworks AI through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Fireworks AI Assistant",
instructions=(
"You help users interact with Fireworks AI. "
"You have access to 6 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Fireworks AI"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 6 tools from Fireworks AI through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Fireworks AI, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Fireworks AI MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 6 tools from Fireworks AI
Why Use OpenAI Agents SDK with the Fireworks AI MCP Server
OpenAI Agents SDK provides unique advantages when paired with Fireworks AI through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Fireworks AI + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Fireworks AI MCP Server delivers measurable value.
Automated workflows: build agents that query Fireworks AI, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Fireworks AI, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Fireworks AI tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Fireworks AI to resolve tickets, look up records, and update statuses without human intervention
Fireworks AI MCP Tools for OpenAI Agents SDK (6)
These 6 tools become available when you connect Fireworks AI to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting Fireworks AI to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Fireworks AI + OpenAI Agents SDK FAQ
Common questions about integrating Fireworks AI MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.