Can I process a refund for a transaction using the agent?

Yes! Use the `refund_transaction` tool with the Bolt reference ID and the amount in cents. Your agent will initiate the credit transaction in your Bolt account.

How do I check the status of a specific Bolt transaction?

Simply ask the agent to `get_transaction` and provide the reference ID. It will retrieve the latest status, such as 'Authorized', 'Completed', or 'Failed', directly from Bolt.

Can I use this to generate a checkout session token?

Yes. Use the `create_order_token` tool and provide the cart details in JSON format. This will return a token that can be used on your frontend to open the Bolt checkout modal.

Bolt MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Bolt
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

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 Bolt "
            "(10 tools)."
        ),
    )

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

asyncio.run(main())

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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 Bolt MCP Server

Connect your Bolt Merchant account to any AI agent and orchestrate your checkout and payment workflows through natural conversation.

Pydantic AI validates every Bolt tool response against typed schemas, catching data inconsistencies at build time. Connect 10 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.

What you can do

Transaction Oversight — List recent Bolt transactions and retrieve detailed metadata for individual payments.
Payment Lifecycle Management — Capture authorized transactions, void pending ones, and issue full or partial refunds.
Order Token Generation — Create order tokens to initiate secure one-click checkout sessions.
Shopper Intelligence — Retrieve account details and order history for authenticated shoppers.
Webhook Monitoring — List and audit configured webhooks to ensure real-time data sync.
Merchant Health Check — Retrieve the current status and configuration of your merchant account.

The Bolt MCP Server exposes 10 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 Bolt to Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 10 tools from Bolt with type-safe schemas

Why Use Pydantic AI with the Bolt MCP Server

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

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

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

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

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

Bolt + Pydantic AI Use Cases

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

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

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

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

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

Bolt MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Bolt to Pydantic AI via MCP:

capture_transaction

Capture a previously authorized transaction

create_order_token

Create an order token to initiate checkout

get_account_details

Get current account details

get_merchant_status

Check the current merchant account status

get_order_details

Get details of a specific order

get_transaction

Get details of a specific transaction

list_transactions

List recent Bolt transactions

list_webhooks

List configured webhooks

refund_transaction

Issue a refund for a completed transaction

void_transaction

Void an authorized but uncaptured transaction

Example Prompts for Bolt in Pydantic AI

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

"List the last 5 transactions in my Bolt account."

"Refund $20.00 for transaction reference ABC-123."

"Check the status of my Bolt merchant account."

Troubleshooting Bolt MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Bolt + Pydantic AI FAQ

Common questions about integrating Bolt MCP Server with Pydantic AI.

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.

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.

Can I switch LLM providers without changing MCP code?

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