How to Use the Volvo Cars Connected MCP in Pydantic AI
Get guaranteed correct data from your fleet with Pydantic AI and Volvo Cars Connected.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Volvo Cars Connected MCP to Pydantic AI
Create your Vinkius account to connect Volvo Cars Connected 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.
Check Vehicle Status using MCP Server
The `get_battery_status` tool reports the current battery level and charging status. You can also check engine readiness with `get_engine_status`. Pydantic ensures that these values always arrive in the expected, structured format. If your agent calls this MCP Server through Pydantic AI, it doesn't suffer silent failures. If the API data is unexpected, the agent fails loudly, guaranteeing you know exactly when the input broke.
Retrieve Fleet Data with Volvo Cars Connected
The `list_vehicles` tool gives a list of connected cars, and `get_vehicle_details` pulls associated metadata. Pydantic validates that every field returned for each vehicle is correct. This type-safe approach means your agent gets clean data to work with immediately. You don't have to write custom parsing code because the schema enforces correctness at runtime.
Verify Vehicle Status through MCP Server
Use `get_doors_status` and `get_windows_status` to confirm physical states. Pydantic AI validates these boolean or string outputs, so you never have to worry about ambiguous status codes. This is key when correctness matters more than speed. Your agent relies on the guaranteed structure of the data coming from this MCP Server.
Set up Volvo Cars Connected 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 deprecatedMCPServerHTTPclass with full protocol support. - 2
Configure the FastMCPToolset
Pass a JSON-style config dict to
FastMCPToolsetwith 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 callagent.run(). Swapopenai:gpt-4ofor any supported model — Anthropic, Google, Mistral, or Groq.
from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset
toolset = FastMCPToolset({
"mcpServers": {
"volvo-cars-connected-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to Volvo Cars Connected tools.",
)
result = await agent.run("List recent Volvo Cars Connected transactions")
print(result.output) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Volvo Cars. 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 Volvo Cars Connected MCP in Pydantic AI
Use it with your favorite AI tools
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