How to Use the Contractor+ MCP in Pydantic AI

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

Install pydantic-ai-slimmcp and use the MCPToolset class pointing to your HTTP endpoint. Pass this toolset to your agent to auto-validate operations like listclients at runtime.

Ensure type-safe field management by connecting Contractor+ to Pydantic AI for error-free estimates and invoicing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Contractor+ MCP to Pydantic AI

Create your Vinkius account to connect Contractor+ 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.

GDPR Free for Subscribers

Setup Contractor+ with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Strict schema validation for Contractor+ estimates

Prevent your agent from generating malformed data. When your agent calls `create_estimate` or inspects `list_invoices`, Pydantic AI validates every single field against strict Python types at runtime. If the model tries to pass a string where a float is required, the execution fails instantly. This loud-failure approach stops corrupted financial data from hitting your database. You don't have to worry about silent formatting errors or missing fields when generating bills for your customers. It guarantees that every invoice matches your exact schema.

Type-safe client registration using this MCP Server

Keep your customer database clean and structured. The agent uses `create_client` and `list_properties` to register new leads and link them to physical addresses. Because Pydantic AI enforces strict data models, you will never end up with incomplete client files or broken phone numbers. If an agent attempts to pull client details using `get_client` and receives unexpected null values, the framework raises a clear validation error. This lets you catch data consistency issues immediately during development rather than in production.

Validate active jobs with Pydantic AI

Track your field crews with absolute certainty. Your agent monitors ongoing work using `list_jobs` and `list_work_orders`, converting the raw JSON responses into validated Python objects. This ensures your custom monitoring dashboards always receive clean, predictable data structures. You can also verify your automation channels by querying `list_webhooks`. This type-safe pipeline ensures that any automated dispatch trigger behaves exactly as expected, protecting your operations from unexpected API changes.

Setup guide

Set up Contractor+ 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": {
        "contractor-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Contractor+. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Contractor+ now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Contractor+ MCP in Pydantic AI

Install pydantic-ai-slim[mcp] and use the MCPToolset class pointing to your HTTP endpoint. Pass this toolset to your agent to auto-validate operations like list_clients at runtime.

The framework will raise a validation error immediately instead of passing bad data to your agent. This prevents silent corruption when running tools like list_service_requests.

Yes, you can use this server with OpenAI, Anthropic, Gemini, or local models. The runtime validation ensures that even less capable models produce valid inputs for create_estimate.

No, the MCP Server runs externally on Vinkius's managed infrastructure. Your Pydantic AI agent connects securely over HTTP or SSE to execute tools like list_webhooks.

Your webhook configurations and credentials are processed within an isolated, ephemeral V8 sandbox. Vinkius secures your authorization tokens, ensuring your backend endpoints remain completely hidden from unauthorized access.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript