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 Google ADK 12 tools — connect in under 2 minutes

Name: Replicate Alternative
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 12 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Replicate Alternative as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="replicate_alternative_agent",
    instruction=(
        "You help users interact with Replicate Alternative "
        "using 12 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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.

Google ADK natively supports Replicate Alternative as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 12 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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 Google ADK 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 Google ADK via MCP

Follow these steps to integrate the Replicate Alternative MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 12 tools from Replicate Alternative via MCP

Why Use Google ADK with the Replicate Alternative MCP Server

Google ADK provides unique advantages when paired with Replicate Alternative through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Replicate Alternative

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Replicate Alternative tools with BigQuery, Vertex AI, and Cloud Functions

Replicate Alternative + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Replicate Alternative MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Replicate Alternative and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Replicate Alternative tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Replicate Alternative regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Replicate Alternative

Replicate Alternative MCP Tools for Google ADK (12)

These 12 tools become available when you connect Replicate Alternative to Google ADK 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 Google ADK

Ready-to-use prompts you can give your Google ADK 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 Google ADK

Common issues when connecting Replicate Alternative to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Replicate Alternative + Google ADK FAQ

Common questions about integrating Replicate Alternative MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.