How to Use the Image Router MCP in Pydantic AI

Q: How do I integrate the Image Router with Pydantic AI?

Install the package with the MCP extra, then initialize MCPToolset with your Vinkius HTTP endpoint. Pass the toolset in the toolsets list when initializing your Agent to register the tools.

Q: Can I use the Image Router to edit existing images in Pydantic AI?

Yes, you can use editimage or generatevariation to modify existing files. The agent validates the parameters against the tool's strict schema before executing the modification.

Get type-safe image generation routing. Connect Pydantic AI to the Image Router MCP Server for validated outputs.

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Connect Image Router MCP to Pydantic AI

Create your Vinkius account to connect Image Router to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Image Router with Pydantic AI

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Perplexity

Type-safe routing with Pydantic AI

No more silent failures or weird API responses. When your Pydantic AI agent queries `list_models` or `list_models_by_category`, the returned schemas are validated against strict Pydantic models at runtime. Your Pydantic AI agent uses `list_styles` to match the user's intent with a verified list of design aesthetics. It then triggers `generate_image` with confidence, knowing the arguments match the exact schema required by the routed engine.

Strict validation for image edits

Modifying existing assets requires precision. The Pydantic AI agent enforces strict type checks on `edit_image` and `generate_variation` parameters, ensuring your aspect ratios and strength values are perfectly formatted. Once the draft is approved, the agent calls `upscale_image` to enhance the resolution. Every step of this MCP pipeline is validated, giving you a highly predictable media generation workflow.

Asynchronous status checks and health tracking

Long-running generation tasks are managed cleanly via `get_generation_status` using this MCP Server. Your Pydantic AI agent checks the rendering state without blocking your main application loop, handling the asynchronous polling with standard Python async patterns. You can also monitor connection health with `check_imagerouter_status` and fetch metadata using `get_model`. This ensures your Pydantic AI agent always has an accurate view of active backends and their specific capabilities.

Setup guide

Set up Image Router MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "image-router-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Image Router tools.",
)

result = await agent.run("List recent Image Router transactions")
print(result.output)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Image Router. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Image Router MCP in Pydantic AI

Install the package with the MCP extra, then initialize `MCPToolset` with your Vinkius HTTP endpoint. Pass the toolset in the `toolsets` list when initializing your Agent to register the tools.

Pydantic AI will raise a validation error at runtime. This prevents your agent from passing bad inputs to tools like `generate_image_advanced`, protecting your pipeline from silent failures.

Yes, you can use `edit_image` or `generate_variation` to modify existing files. The agent validates the parameters against the tool's strict schema before executing the modification.

Yes, the server runs in a managed Vinkius sandbox. Your agent connects to it via the Streamable HTTP transport, so you do not need to manage any local dependencies or model binaries.

All image metadata and prompt text are processed inside isolated V8 sandboxes on Vinkius. We enforce a zero-trust architecture, meaning your files and generation parameters are wiped from memory as soon as the API call finishes.

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