How to Use the GoBolt MCP in Pydantic AI
Build type-safe shipping workflows with Pydantic AI and GoBolt to guarantee clean data on every delivery.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GoBolt MCP to Pydantic AI
Create your Vinkius account to connect GoBolt 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.
Type-safe rate calculation with Pydantic AI
The GoBolt MCP Server integrates with Pydantic AI to ensure every shipping rate output matches your exact data schemas. When your agent runs `get_shipping_rates`, the response is validated at runtime before it reaches your business logic. If a carrier returns malformed rate data, Pydantic AI raises a validation error immediately. This keeps your checkout flow safe from corrupt pricing when comparing carriers with `find_cheapest_rate`.
Strict order validation and creation
This MCP Server enforces rigid data structures when your Pydantic AI agent books a shipment. The agent uses `create_shipping_order` to send shipping details, which must pass strict type checks before the order is placed. If the agent attempts to pass an invalid zip code, the validation layer catches it before hitting the carrier API. Once validated, the agent runs `get_shipping_labels` to fetch the printable label.
Guaranteed tracking data structures
Your Pydantic AI agent tracks packages with absolute structural certainty. The agent calls `track_shipment` to get the current status, mapping the response directly to your internal database models. When digging into delivery delays, the agent runs `get_tracking_history` to analyze each transit event. This structured output ensures your notification systems never crash due to unexpected null fields from carrier updates.
Set up GoBolt 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": {
"gobolt-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
})
agent = Agent(
"openai:gpt-4o",
toolsets=[toolset],
system_prompt="You have access to GoBolt tools.",
)
result = await agent.run("List recent GoBolt 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 GoBolt. 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 GoBolt MCP in Pydantic AI
Use it with your favorite AI tools
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