How to Use the Assembly MCP in Pydantic AI

Enforce strict schemas on Assembly data using Pydantic AI for reliable, type-safe agent behavior.

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Connect Assembly MCP to Pydantic AI

Create your Vinkius account to connect Assembly 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 Assembly with Pydantic AI

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Validate Assembly entities with Pydantic AI

Use `get_user` or `get_client` to pull records that Pydantic AI automatically validates against your models. If Assembly returns bad data, the agent crashes before it can make a mistake. This creates a hard safety layer for your agent logic. You get clean, typed objects instead of raw, unpredictable strings.

Map Assembly notes via Pydantic AI

Call `list_notes` and let the framework coerce the output into your predefined note model. It keeps your agent strictly within the bounds of your schema. `get_note` ensures you have the right fields before the agent attempts to summarize anything. It prevents silent failures during runtime.

Sync Assembly workspaces with Pydantic AI

Run `list_workspaces` to verify your project list against your internal type definitions. This makes your agent aware of your Assembly environment's exact current state. `get_workspace` fetches the metadata you need for complex workflows. The framework checks every field, ensuring your agent only works with valid workspace data.

Setup guide

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

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

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

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Common questions about Assembly MCP in Pydantic AI

Initialize an MCPToolset with your Vinkius HTTP URL. Pass this toolset into your Pydantic AI agent definition to start handling Assembly data with type safety.

The agent will raise a validation error immediately. This stops the agent from acting on malformed data and protects your application logic.

Yes. The toolkit handles both Streamable HTTP and SSE transports. You just point the client to your Vinkius server to get started.

We use scoped tokens for every request. Your agent interacts with Assembly through a hardened sandbox that clears after your session ends.

It validates structured fields like user IDs, company names, and note timestamps. The framework ensures every piece of Assembly data matches your model's expected format.

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