Replicate MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Replicate 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="Replicate Assistant",
instructions=(
"You help users interact with Replicate. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Replicate"
)
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 Replicate MCP Server
Connect your conversational assistant directly to the Replicate ecosystem. This integration grants your AI the ability to interact programmatically with a vast library of open-source machine learning models without running them on your local hardware. From orchestrating complex image generations to spinning up specialized language models, you can command AI workflows directly from your chat.
The OpenAI Agents SDK auto-discovers all 12 tools from Replicate through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Replicate, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Execute Predictions — Command the assistant to execute specific model versions on your behalf (
create_prediction) by supplying a payload of variables. Monitor long-running processes by retrieving outputs and execution status reliably (get_prediction) or cancel them at will (cancel_prediction). - Discover Models — Instruct the AI to intelligently scan the Replicate platform for models matching a specific use case using
search_models. You can also explore trending and categorized models by leveraging thelist_collectionsaction. - Analyze Model Metadata — Whenever you discover a new model, query its precise owner and name (
get_model) to extract the exact schema and parameter requirements necessary for a successful execution. You can also view a log of your own executed tasks (list_predictions).
The Replicate MCP Server exposes 12 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 Replicate to OpenAI Agents SDK via MCP
Follow these steps to integrate the Replicate 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 12 tools from Replicate
Why Use OpenAI Agents SDK with the Replicate MCP Server
OpenAI Agents SDK provides unique advantages when paired with Replicate 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
Replicate + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Replicate MCP Server delivers measurable value.
Automated workflows: build agents that query Replicate, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries Replicate, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Replicate tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Replicate to resolve tickets, look up records, and update statuses without human intervention
Replicate MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Replicate to OpenAI Agents SDK via MCP:
cancel_prediction
Cancels a prediction that is currently running
create_prediction
g., image generation, LLMs). Provide the model version ID and inputs as a JSON object. Starts a new model prediction on Replicate
get_account
Retrieves the authenticated Replicate account details
get_collection
Provide the collection slug (e.g., "text-to-image"). Retrieves a specific collection of models by its slug
get_model
Retrieves details for a specific model
get_prediction
). Retrieves the status and output of a prediction
list_collections
g., "Image-to-Text", "Audio Generation"). Lists curated collections of models
list_deployments
Lists your active model deployments on Replicate
list_hardware
Lists available GPU hardware options for running models
list_models
Lists public models available on Replicate
list_predictions
Lists recent predictions made by the user
search_models
Searches for public models on Replicate
Example Prompts for Replicate in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Replicate immediately.
"List my recent predictions."
"Query Replicate to search for 'TTS' models."
"Cancel the prediction that has the ID `p_abc123`."
Troubleshooting Replicate MCP Server with OpenAI Agents SDK
Common issues when connecting Replicate to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Replicate + OpenAI Agents SDK FAQ
Common questions about integrating Replicate 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 Replicate 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 Replicate to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.