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GoBolt MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect GoBolt through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to GoBolt "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in GoBolt?"
    )
    print(result.data)

asyncio.run(main())
GoBolt
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About GoBolt MCP Server

Connect your GoBolt merchant account to any AI agent to automate your e-commerce logistics and parcel tracking through the Model Context Protocol (MCP). GoBolt is a sustainable logistics and 3PL provider that simplifies global shipping. This MCP server enables you to retrieve real-time shipping rates, manage fulfillment orders, and track deliveries directly through natural conversation.

Pydantic AI validates every GoBolt tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

Key Features

  • Real-time Quoting — Retrieve live shipping rates based on origin, destination, and package dimensions to provide accurate costs to your customers.
  • Order Management — Create and manage shipping orders in GoBolt's fulfillment system, including updating recipient and package details.
  • Precision Tracking — Access real-time status updates and full event histories for any order ID or tracking number.
  • Label Generation — Retrieve PDF or ZPL shipping labels for fulfilled orders programmatically from your chat interface.
  • Sustainability Insights — Access metadata related to GoBolt's eco-friendly logistics and last-mile delivery services.
  • Merchant Oversight — Access metadata for your authenticated account to verify connectivity and authorized project scopes.
  • Real-time Synchronization — Keep your logistics and fulfillment data accessible to your AI assistant without leaving your primary workspace.

The GoBolt MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect GoBolt to Pydantic AI via MCP

Follow these steps to integrate the GoBolt MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from GoBolt with type-safe schemas

Why Use Pydantic AI with the GoBolt MCP Server

Pydantic AI provides unique advantages when paired with GoBolt through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your GoBolt integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your GoBolt connection logic from agent behavior for testable, maintainable code

GoBolt + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the GoBolt MCP Server delivers measurable value.

01

Type-safe data pipelines: query GoBolt with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple GoBolt tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query GoBolt and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock GoBolt responses and write comprehensive agent tests

GoBolt MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect GoBolt to Pydantic AI via MCP:

01

create_shipping_order

Place shipping order

02

find_cheapest_rate

Find lowest cost

03

find_fastest_rate

Find fastest delivery

04

get_merchant_info

Get account identity

05

get_order_details

Get order metadata

06

get_shipping_labels

Download labels

07

get_shipping_rates

Get real-time rates

08

get_tracking_history

View full events

09

list_shipping_orders

List all orders

10

modify_shipping_order

Update order info

11

track_shipment

Get tracking info

12

verify_api_connection

Check connection

Example Prompts for GoBolt in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with GoBolt immediately.

01

"Get shipping rates from NY to LA for a 2kg package."

02

"Track my order with ID 'GBLT-98765'."

03

"Find the cheapest shipping rate for a package to Toronto."

Troubleshooting GoBolt MCP Server with Pydantic AI

Common issues when connecting GoBolt to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

GoBolt + Pydantic AI FAQ

Common questions about integrating GoBolt MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your GoBolt MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect GoBolt to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.