How to Use the Exact Online Bouw MCP in Pydantic AI

Strict type-safe construction accounting with Exact Online Bouw and Pydantic AI.

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Connect Exact Online Bouw MCP to Pydantic AI

Create your Vinkius account to connect Exact Online Bouw 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 Exact Online Bouw with Pydantic AI

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Type-safe project creation

Define your projects with confidence using `create_project` integrated into your agent flow. Pydantic AI validates every field against your schema, ensuring no malformed data hits your ledger. Retrieve project information with `get_project` to confirm that the WBS and account links are correct. This prevents data errors before they occur in your construction system.

Accurate financial logging

Record project costs using `create_cost_transaction` with full runtime validation. If the API returns unexpected data, Pydantic AI catches the issue immediately, preventing silent corruption. Monitor your spending with `list_cost_transactions` to ensure your agent maintains a valid financial state. This keeps your construction records consistent and reliable for your team.

Time entry with schema validation

Log hours using `create_time_transaction` while enforcing strict type checks on employee and activity IDs. Pydantic AI ensures your agent only submits valid time records. Use `list_time_transactions` to verify your entries against project budgets. This setup guarantees that your time tracking remains accurate and compliant with your project requirements.

Setup guide

Set up Exact Online Bouw 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": {
        "exact-online-bouw-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent Exact Online Bouw transactions")
print(result.output)

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Common questions about Exact Online Bouw MCP in Pydantic AI

Every tool response is parsed against a Pydantic model at runtime. If the Exact Online Bouw data doesn't match your schema, the agent throws a clear validation error.

Yes. Because every transaction tool result is type-checked, you avoid corrupted records. This is vital for maintaining accurate construction financials.

Instantiate the MCPToolset with your server URL. Pydantic AI then registers the tools and validates their signatures for your agent's use.

Your construction records are processed in a zero-trust environment. Only the specific data required for your tool calls is handled, and it is never stored by the server.

All returned fields from project details to employee lists are validated. This protects your agent from hallucinated data and ensures type consistency across all tool responses.

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