How to Use the Fixably MCP in Pydantic AI

Q: How do I set up the Fixably MCP Server in Pydantic AI?

Install the package with pip install "pydantic-ai-slimmcp". Use the MCPToolset constructor with your Vinkius HTTP endpoint URL, and pass the toolset directly into your Agent instance to import the MCP tools.

Q: How is my customer and order note data protected?

All customer records retrieved via getcustomer and notes written via addordernote are processed inside isolated, ephemeral V8 sandboxes. Vinkius manages the authentication securely, ensuring your private repair agreements and contact details are never stored or exposed.

Build type-safe repair workflows by connecting Fixably to Pydantic AI for runtime-validated inventory and order tracking.

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Connect Fixably MCP to Pydantic AI

Create your Vinkius account to connect Fixably 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 Fixably with Pydantic AI

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Type-Safe Repair Order Creation in Pydantic AI

The agent uses `create_order` to open new tickets, and this MCP Server integration guarantees that every piece of repair data matches your exact database schema. If the API returns unexpected data formats, the system raises a loud validation error instead of silently corrupting your records. Your agent can then safely call `update_order` knowing that all fields like status codes, device types, and serial numbers are strictly typed.

Validate Stock and Warehouse Movements

Your agent queries your warehouse list using `list_stocks` and verifies specific part counts with `get_stock`. Before moving a part to a new workbench, the agent executes `change_internal_location` to update the physical tracking. Pydantic AI validates the location schema instantly, ensuring that physical items never get lost in untracked virtual locations due to agent formatting errors.

Secure Customer and File Verification

The agent runs `list_customers` to find profiles and `get_customer` to pull contact records, using the MCP connection to parse phone numbers and emails through strict validation rules. To verify diagnostic evidence, the agent calls `list_order_files` to check for attached photos or PDFs. If everything is correct, the agent appends a validated status note using `add_order_note` to signal to the technician that the device is ready for repair.

Setup guide

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

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

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

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

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Common questions about Fixably MCP in Pydantic AI

Install the package with `pip install "pydantic-ai-slim[mcp]"`. Use the `MCPToolset` constructor with your Vinkius HTTP endpoint URL, and pass the toolset directly into your `Agent` instance to import the MCP tools.

Pydantic AI will raise a validation error at runtime. This prevents your agent from acting on corrupt or hallucinated data when executing critical tools like `update_order` or `get_stock`.

Yes, Pydantic AI handles async operations natively. Your agent can run `list_orders` and check stock levels concurrently, making it fast enough for busy repair depots running multiple MCP workflows.

Yes, Pydantic AI is model-agnostic. You can use this server with OpenAI, Anthropic, Gemini, or local models running on your own hardware, as long as they support tool calling.

All customer records retrieved via `get_customer` and notes written via `add_order_note` are processed inside isolated, ephemeral V8 sandboxes. Vinkius manages the authentication securely, ensuring your private repair agreements and contact details are never stored or exposed.

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