How to Use the Anvyl MCP in Pydantic AI

Q: How do I initialize the Anvyl MCP Server toolset in Pydantic AI?

Install the MCP extra, then instantiate MCPToolset with your Vinkius HTTP endpoint. Pass this toolset directly into the toolsets list of your Agent.

Q: Does Pydantic AI support SSE transport for the Anvyl MCP Server?

Yes. The unified MCPToolset supports both Streamable HTTP and SSE transports, assuming your server is hosted externally on Vinkius.

Bring strict runtime validation to your supply chain workflows with Pydantic AI and Anvyl.

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Connect Anvyl MCP to Pydantic AI

Create your Vinkius account to connect Anvyl 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 Anvyl with Pydantic AI

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Type-safe supply chain updates with Pydantic AI

Prevent your agent from hallucinating shipment details or part numbers. By pairing Pydantic AI with this MCP Server, every response from `get_purchase_order` is validated against strict Python type models before your code runs. If the API returns unexpected data formats, the framework raises a validation error immediately. This stops corrupted logistics records from silently breaking your production database.

Reliable milestone management without silent failures

Safely modify schedules using `confirm_milestone` and `delay_milestone`. The framework validates input arguments before sending them to the server, ensuring dates and purchase order IDs match expected formats. You do not have to worry about the agent passing malformed strings to your supply chain. The type-safe schema defined by the MCP Server guarantees that only valid payloads are processed.

Model-agnostic supplier auditing

Run your auditing agents on OpenAI, Anthropic, or local models while maintaining strict data structures. Your model queries `list_suppliers` and `get_supplier` to check vendor details reliably across any LLM provider. By passing the toolset into your agent constructor, you get a clean separation of concerns. The agent fetches part details via `list_parts` and `get_part` without requiring custom parsing logic.

Setup guide

Set up Anvyl 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": {
        "anvyl-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about Anvyl MCP in Pydantic AI

Install the MCP extra, then instantiate `MCPToolset` with your Vinkius HTTP endpoint. Pass this toolset directly into the `toolsets` list of your `Agent`.

The framework raises a validation error instantly. This prevents hallucinated or corrupted supply chain fields from passing through to your application.

Yes. The unified `MCPToolset` supports both Streamable HTTP and SSE transports, assuming your server is hosted externally on Vinkius.

Absolutely. The framework is model-agnostic, allowing you to run these supply chain tools with local models or commercial APIs.

Every transaction runs through an isolated, zero-trust V8 sandbox. Your parts inventory and shipment details are never cached or exposed to other tenants.

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