How to Use the Increase MCP in Pydantic AI

Q: Can I increase audit frequency with Pydantic AI?

Absolutely. You schedule the increaselisttransfers tool in your agent loop, and Pydantic AI ensures the response is valid.

Type-safe banking for Pydantic AI. Validate every ledger movement with strict runtime schema enforcement.

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Connect Increase MCP to Pydantic AI

Create your Vinkius account to connect Increase 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 Increase with Pydantic AI

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Strict type-safe banking in Pydantic AI

Every response from `increase_list_accounts` is validated against your Pydantic models. If the bank returns a malformed record, your agent stops immediately. It prevents silent failures in your financial logic. You gain confidence that your agent's state matches the actual account ledger.

Automated ACH flows in Pydantic AI

Use `increase_create_ach` within your agent flow. Pydantic AI checks the payload before it leaves your system, ensuring your transfer parameters are perfect. It handles the complexities of bank transfers without risking malformed data. You define the model, and the agent enforces it.

Audit your ledger with Pydantic AI

Run `increase_list_transactions` to pull your history. Pydantic AI maps the response into your schema for clean, error-free processing. This approach eliminates hallucinated fields and keeps your audit logs clean. You get exactly the data you expect, every time.

Setup guide

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

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

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

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Common questions about Increase MCP in Pydantic AI

You use Pydantic models to validate the MCP output. This ensures the Increase data is always structured correctly before your agent acts.

Absolutely. You schedule the `increase_list_transfers` tool in your agent loop, and Pydantic AI ensures the response is valid.

It prevents them. By enforcing schemas on the tool output, Pydantic AI catches bad data before it hits your internal systems.

The server uses standard banking protocols for all traffic. Vinkius secures the transport layer between your code and the bank.

You provide one endpoint token to the server. The Vinkius runtime keeps your API credentials isolated from your agent's logic.

Use it with your favorite AI tools

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

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