How to Use the DingConnect MCP in Pydantic AI

Q: How do I register the DingConnect toolset in Pydantic AI?

Use MCPToolset with your Vinkius HTTP endpoint and pass it to the Agent constructor. This registers tools like searchtopupproducts as validated Python functions inside your MCP environment.

Q: How does the agent search for specific mobile packages?

It runs searchtopupproducts with a text query, parsing the returned list into typed structures that your agent can safely inspect.

Q: How does the DingConnect MCP integration protect my credit balance and transaction logs?

The MCP Server processes your account balance from getaccountcreditbalance and transaction logs from listtransactionhistory in memory inside an ephemeral sandbox, leaving no persistent footprint.

Bring strict runtime validation to your Pydantic AI agent when managing mobile top-ups and operator lookups.

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Connect DingConnect MCP to Pydantic AI

Create your Vinkius account to connect DingConnect 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.

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Setup DingConnect with Pydantic AI

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Validate telco responses inside your Pydantic AI MCP Server

Stop worrying about malformed API payloads breaking your production pipelines. Your agent calls `list_available_topup_products` and validates every field against strict Pydantic models before processing. If a provider changes their response format, the system raises an immediate validation error. This prevents corrupted data from slipping into your downstream databases.

Track account balances with zero type errors

Ensure your agent reads financial limits accurately. By calling `get_account_credit_balance`, your agent receives a typed float representation of your current funds, removing any string-parsing bugs. You can also query `get_api_account_metadata` to verify system parameters. The agent checks these values against your business rules before executing any high-value operations through the MCP client.

Audit operators and verify network status

Keep your transaction logic clean and predictable. Your agent checks carrier availability using `check_mobile_service_status` and routes around outages before they impact users. It uses `quick_operator_audit` to get a structured overview of local networks. This structured data makes it simple to write deterministic fallback logic in Python.

Setup guide

Set up DingConnect 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": {
        "dingconnect-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about DingConnect MCP in Pydantic AI

Use `MCPToolset` with your Vinkius HTTP endpoint and pass it to the `Agent` constructor. This registers tools like `search_topup_products` as validated Python functions inside your MCP environment.

The framework raises a validation error immediately. This stops the agent from executing tools like `list_transaction_history` with corrupt inputs.

Yes. You can initialize your toolset using the HTTP transport option, which connects directly to the hosted server on Vinkius.

It runs `search_topup_products` with a text query, parsing the returned list into typed structures that your agent can safely inspect.

The MCP Server processes your account balance from `get_account_credit_balance` and transaction logs from `list_transaction_history` in memory inside an ephemeral sandbox, leaving no persistent footprint.

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