How to Use the Towio MCP in Pydantic AI

Q: What data does Towio touch regarding privacy?

The MCP Server handles personnel records through listemployees. Pydantic AI ensures that when this sensitive employee data is passed back to the agent, it maintains strict type integrity.

Q: Can I reliably list tasks using Towio with Pydantic AI?

Absolutely. When you call listtasks, the agent doesn't just receive a list; it receives a validated list where every task field (like status or ID) is guaranteed to be in the correct format.

Q: What if I need project information using Towio with Pydantic AI?

You call listprojects. Since this is a typed framework, you get confidence that the project names and IDs are structured exactly as your system expects them to be.

Q: Is checking API connectivity reliable using Towio with Pydantic AI?

Yes. When calling getapiversion, the response is validated against a schema, so you're not just getting a version string; you're getting a predictably structured confirmation of connectivity.

Ensure Towio data correctness with type-safe MCP responses using Pydantic AI.

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Connect Towio MCP to Pydantic AI

Create your Vinkius account to connect Towio 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 Towio with Pydantic AI

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Safely Create and Manage Tasks

When the agent runs `create_task`, it validates that all required fields for a new roadside job are present. If Towio returns malformed data, Pydantic fails loudly—no silent corruption. The agent can also use `list_tasks` to pull task lists, knowing every field (like status or due date) is correctly typed and validated.

Access Company Records with Validation

The MCP Server provides employee details via `list_employees`. Because of Pydantic validation, you can trust that the agent receives properly structured names, IDs, and roles. Similarly, when checking projects using `list_projects`, the model ensures the output conforms exactly to your defined schema.

Get Deliverable Documentation

If you need a manifest or records for a job, use `list_delivery_documents`. Pydantic guarantees that the resulting list contains only predictable and usable data structures. Furthermore, the agent can check overall connectivity using `get_api_version`, validating not just the version number, but its expected data format.

Setup guide

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

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

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

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Common questions about Towio MCP in Pydantic AI

Every response from the MCP Server is checked against your defined Python models at runtime. If Towio sends back an unexpected data type, the agent fails immediately and gives you a clear validation error.

The MCP Server handles personnel records through `list_employees`. Pydantic AI ensures that when this sensitive employee data is passed back to the agent, it maintains strict type integrity.

Absolutely. When you call `list_tasks`, the agent doesn't just receive a list; it receives a validated list where every task field (like status or ID) is guaranteed to be in the correct format.

You call `list_projects`. Since this is a typed framework, you get confidence that the project names and IDs are structured exactly as your system expects them to be.

Yes. When calling `get_api_version`, the response is validated against a schema, so you're not just getting a version string; you're getting a predictably structured confirmation of connectivity.

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