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Chargeblast MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Chargeblast 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 Chargeblast "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())
Chargeblast
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* 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 Chargeblast MCP Server

Connect your Chargeblast account to any AI agent and take full control of your chargeback prevention and dispute management through natural conversation. Intercept disputes before they become chargebacks.

Pydantic AI validates every Chargeblast tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

  • Alert Oversight — List and retrieve details for all intercepted dispute alerts (CDRN, Ethoca, RDR) natively
  • Status Management — Update alert statuses and mark disputes as refunded flawlessly
  • Deflection Auditing — List and analyze logs of successfully blocked chargeback attempts securely
  • Order Logistics — Upload order data to enable digital receipts and automatic deflections flawlessly
  • Merchant Enrollment — List and manage enrolled merchants under your account in real-time
  • Credit Requests — Trigger credit requests for specific dispute alerts directly within your workspace

The Chargeblast MCP Server exposes 8 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 Chargeblast to Pydantic AI via MCP

Follow these steps to integrate the Chargeblast 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 8 tools from Chargeblast with type-safe schemas

Why Use Pydantic AI with the Chargeblast MCP Server

Pydantic AI provides unique advantages when paired with Chargeblast 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 Chargeblast 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 Chargeblast connection logic from agent behavior for testable, maintainable code

Chargeblast + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Chargeblast MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Chargeblast to Pydantic AI via MCP:

01

get_dispute_alert_details

Get details for a specific dispute alert

02

list_deflection_logs

List logs of chargeback attempts that were successfully blocked

03

list_dispute_alerts

List all chargeback alerts from your account

04

list_enrolled_merchants

List all merchants enrolled under your account

05

list_uploaded_orders

List order history uploaded for deflection

06

request_dispute_credit

Request a credit for a specific dispute alert

07

update_alert_status

Update the status of a dispute alert

08

upload_order_data

Upload order data to enable digital receipts and deflections

Example Prompts for Chargeblast in Pydantic AI

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

01

"Show me all active dispute alerts in Chargeblast."

02

"What is the status of alert ID 12345?"

03

"Show me the logs of chargebacks blocked today."

Troubleshooting Chargeblast MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Chargeblast + Pydantic AI FAQ

Common questions about integrating Chargeblast 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 Chargeblast MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Chargeblast to Pydantic AI

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.