How to Use the Chargeblast MCP in Pydantic AI

Q: Can Pydantic AI handle Chargeblast dispute credits?

It handles them reliably by ensuring the tool input for requestdisputecredit matches your strict type definitions. This makes your credit requests predictable.

Type-safe dispute management for Pydantic AI. No hallucinations, just validated Chargeblast tool calls.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Chargeblast MCP to Pydantic AI

Create your Vinkius account to connect Chargeblast 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.

GDPR Free for Subscribers

Setup Chargeblast with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Type-safe Chargeblast alerts for Pydantic AI

Every response from `list_dispute_alerts` is validated against your schema. If the Chargeblast API returns malformed data, your agent stops immediately. This prevents silent failures in your dispute workflow. You get reliable, typed data every time your agent checks for new alerts.

Validate deflection data in Pydantic AI

Your agent uses `upload_order_data` to push records, while `list_deflection_logs` tracks what worked. Pydantic AI confirms the structure of every log entry. This adds a layer of runtime safety to your fraud prevention. You never deal with unexpected fields or corrupted status updates.

Manage merchants with Pydantic AI

The `list_enrolled_merchants` tool provides a consistent list of accounts. Your agent uses `update_alert_status` only after confirming the response matches your defined models. This strict approach ensures your merchant records remain accurate. The agent functions as a high-integrity clerk for your Chargeblast account.

Setup guide

Set up Chargeblast 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 deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with 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 call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "chargeblast-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Chargeblast tools.",
)

result = await agent.run("List recent Chargeblast transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Chargeblast. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Chargeblast now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chargeblast MCP in Pydantic AI

It validates every server response against Pydantic models. If the data structure deviates from your expected format, the agent raises an error instead of hallucinating.

It handles them reliably by ensuring the tool input for `request_dispute_credit` matches your strict type definitions. This makes your credit requests predictable.

It is. You use the MCPToolset to wrap the server, allowing your agent to call Chargeblast tools as if they were local, type-checked functions.

Yes, it supports both Streamable HTTP and SSE. This gives you flexibility in how your Pydantic AI agent maintains its connection to the server.

Your order data is validated locally within your agent's runtime. The Vinkius server acts as a hardened proxy, ensuring only validated, structured requests reach the Chargeblast API.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript