How to Use the Instamojo MCP in Pydantic AI

Use Pydantic AI with Instamojo to validate all payment responses against strict data models.

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Connect Instamojo MCP to Pydantic AI

Create your Vinkius account to connect Instamojo 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 Instamojo with Pydantic AI

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Type-safe Instamojo integration for Pydantic AI

Every response from `list_payments` is validated against your Pydantic model at runtime. If the API returns unexpected data, the agent stops before processing corrupted records. Use `get_payment` to grab specific details for a transaction. The framework ensures the data matches your expected schema, providing a reliable foundation for your code.

Validate refund and dispute data in Pydantic AI

Your agent calls `list_refunds` and validates the output against your defined models. This prevents errors when calculating net revenue or processing customer requests. Querying `list_disputes` ensures you get structured data every time. Your agent handles the disputes based on the validated fields, removing the risk of silent failures.

Automate financial tasks with Pydantic AI

The agent lists your payout history using `list_payouts` and verifies the figures against your bank statements. It relies on strictly typed responses to avoid calculation errors. By checking `list_payment_requests`, your agent identifies outstanding invoices. The type-safe approach guarantees the agent acts only on correctly formatted records.

Setup guide

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

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

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

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Common questions about Instamojo MCP in Pydantic AI

The agent raises a validation error immediately if the data structure doesn't match your Pydantic model. This prevents your system from acting on incomplete or malformed payment records.

You install the server and pass the toolset to your agent. The setup is designed for developers who prioritize data integrity and want clear error boundaries.

Yes, the server is model-agnostic. Pydantic AI allows you to swap your backend model while keeping the same validation logic for your Instamojo data.

You get access to all ten core tools including payout, refund, and dispute management. Each one is ready to be mapped to your custom models.

Your data is validated in memory and never written to disk by the server. We enforce strict type checks to ensure only the necessary fields reach your agent's logic.

Use it with your favorite AI tools

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