How do I get a Replicate API token?

Log in to the [**Replicate API Tokens page**](https://replicate.com/account/api-tokens) and click **Create API Token**. Copy the token immediately — it starts with `r8_` and won't be shown again.

How do I run a model prediction?

Use `create_prediction` with the model slug (e.g. "stability-ai/sdxl") and an input JSON object matching the model's schema. The prediction starts as 'starting', then 'processing', and finally 'succeeded' with output URLs. Use `get_prediction` to check status and retrieve results.

How do I find models for specific tasks?

Use `search_models` with a query like 'text-to-image', 'llm', 'music-generation' or 'video-generation'. You can also use `list_collections` to browse curated collections by category, and `get_collection` to see featured models in each collection.

Can I cancel a running prediction?

Yes! Use `cancel_prediction` with the prediction ID. This works for predictions that are 'starting' or 'processing'. The status will change to 'canceled' and you won't be charged for the full compute time.

Replicate Alternative MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes

Name: Replicate Alternative
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 12 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

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="Replicate Alternative Assistant",
            instructions=(
                "You help users interact with Replicate Alternative. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

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

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Alternative MCP Server

Connect your Replicate account to any AI agent and run thousands of open-source ML models through natural conversation.

The OpenAI Agents SDK auto-discovers all 12 tools from Replicate Alternative through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Replicate Alternative, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Model Discovery — Browse, search and inspect thousands of ML models with their descriptions, run counts and hardware requirements
Predictions — Run models by creating predictions and tracking their status (starting, processing, succeeded, failed)
Collections — Explore curated collections of models by category (text-to-image, LLMs, audio, video)
Hardware Options — View available GPU types and pricing for model inference
Account Info — Check your account details and usage

The Replicate Alternative 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 Alternative to OpenAI Agents SDK via MCP

Follow these steps to integrate the Replicate Alternative 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 Alternative

Why Use OpenAI Agents SDK with the Replicate Alternative MCP Server

OpenAI Agents SDK provides unique advantages when paired with Replicate Alternative 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 Alternative + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Replicate Alternative MCP Server delivers measurable value.

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

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

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

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

Replicate Alternative MCP Tools for OpenAI Agents SDK (12)

These 12 tools become available when you connect Replicate Alternative to OpenAI Agents SDK via MCP:

cancel_prediction

Provide the prediction ID. The prediction status will change to "canceled". Cancel a running prediction

create_prediction

Requires the model slug in "owner/name" format and an input object matching the model's schema. Optionally specify a version ID and webhook URL. Returns the prediction object with its ID, status (starting, processing, succeeded, failed, canceled) and output. Use get_prediction to check status and retrieve results. Run a model prediction on Replicate

get_account

Returns account type, username and usage info. Use this to verify your API token is working correctly. Get the authenticated Replicate account info

get_collection

Provide the collection slug (e.g. "text-to-image", "large-language-models"). Get details for a specific model collection

get_model

Provide the model slug in "owner/name" format (e.g. "stability-ai/sdxl" or "meta/meta-llama-3-70b-instruct"). Get details for a specific Replicate model

get_model_versions

Each version includes its ID (64-char hash), creation date, input/output schema and cog version. Use this to find the correct version ID when creating predictions for models that require a specific version. Get all versions of a Replicate model

get_prediction

Returns the prediction ID, status (starting, processing, succeeded, failed, canceled), input, output URLs, creation time and logs. Use the prediction ID returned from create_prediction. Get the status and result of a prediction

list_collections

Collections group related models by category (e.g. "text-to-image", "large-language-models", "audio-to-audio", "image-to-video"). Each collection includes its slug, name, description and featured models. List model collections on Replicate

list_hardware

Each hardware option includes its SKU name, pricing and specifications. Useful for choosing the right GPU for your prediction workload. List available GPU hardware on Replicate

list_models

Each model includes its name, owner, description, run count, hardware requirements and cover image URL. Use this to discover available models for running predictions. List available ML models on Replicate

list_predictions

Each prediction includes its ID, model, status, creation time and output URLs. Useful for tracking prediction history and monitoring model usage. List recent predictions on Replicate

search_models

Returns models with their name, owner, description, run count and hardware. Useful for finding specific types of models (e.g. "text-to-image", "llm", "music-generation"). Search for models on Replicate by query

Example Prompts for Replicate Alternative in OpenAI Agents SDK

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

"List all text-to-image collections on Replicate."

"Search for LLM models on Replicate."

"Create a prediction using stability-ai/sdxl with prompt 'a sunset over mountains, photorealistic'."

Troubleshooting Replicate Alternative MCP Server with OpenAI Agents SDK

Common issues when connecting Replicate Alternative to OpenAI Agents SDK through the 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.

Replicate Alternative + OpenAI Agents SDK FAQ

Common questions about integrating Replicate Alternative 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.