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

Name: Cerebras Inference
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cerebras Inference through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

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The Cerebras Inference MCP Server for OpenAI Agents 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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python

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="Cerebras Inference Assistant",
            instructions=(
                "You help users interact with Cerebras Inference. "
                "You have access to 15 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cerebras Inference"
        )
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK auto-discovers all 15 tools from Cerebras Inference through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cerebras Inference, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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.

upload

Upload file on Cerebras Inference

Upload a JSONL file for Batch processing

Connect Cerebras Inference to OpenAI Agents SDK via MCP

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

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 15 tools from Cerebras Inference

Why Use OpenAI Agents SDK with the Cerebras Inference MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cerebras Inference 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

Cerebras Inference + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cerebras Inference MCP Server delivers measurable value.

Automated workflows: build agents that query Cerebras Inference, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Cerebras Inference, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Cerebras Inference tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Cerebras Inference to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Cerebras Inference in OpenAI Agents SDK

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

"List all available models on Cerebras."

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

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

Troubleshooting Cerebras Inference MCP Server with OpenAI Agents SDK

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

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cerebras Inference + OpenAI Agents SDK FAQ

Common questions about integrating Cerebras Inference MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.