How to Use the Flowcode MCP in Pydantic AI

Q: How do I configure the Flowcode MCP Server with Pydantic AI?

Install the extension and initialize MCPToolset with your Vinkius server URL. Pass it to your agent's toolsets argument to get fully typed QR code management.

Q: What happens if Flowcode returns a bad response to Pydantic AI?

The framework validates all tool outputs at runtime. If getflowpagecontacts returns data that violates your schema, your agent raises a validation error instantly instead of failing silently.

Q: Can Pydantic AI manage Flowcode asset folders?

Yes, your agent can call listfolders to discover your directory structure. The response is parsed into type-safe models, making it easy to organize codes without string formatting bugs.

Q: How is my Flowcode geographic analytics data protected by this MCP Server?

Your geographic analytics from getgeographicanalytics are processed strictly in memory within ephemeral V8 isolates. We use zero-trust network policies to ensure location data is never cached or exposed to third parties.

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Connect Flowcode MCP to Pydantic AI

Create your Vinkius account to connect Flowcode 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 Flowcode with Pydantic AI

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Type-Safe QR Generation with Pydantic AI

The `create_flowcode` tool generates dynamic QR codes while verifying the exact structure of the response payload. If the API returns unexpected fields, the framework raises a validation error immediately. This strict validation prevents malformed data from corrupting your database. Your agent uses `get_flowcode_image` to fetch the asset safely, knowing the image URL matches your exact schema.

Bulletproof Analytics Validation

The `get_audience_summary` tool fetches structured demographic data that your agent validates using strict Python types. Connecting this MCP Server ensures every demographic field is checked before it reaches your frontend. The same validation applies to `get_flowpage_analytics`. If a landing page event contains unexpected schema changes, your agent halts execution rather than writing corrupt metrics to your database.

Validated CRM Ingestion

The `get_flowpage_contacts` tool fetches lead data from your mobile landing pages. Your agent parses this contact list against a Pydantic model to guarantee all email addresses and phone numbers are formatted correctly. Once validated, the agent uses `list_conversion_rates` to track how many of those contacts completed your signup funnel. This guarantees your marketing attribution reports are built on clean, validated data.

Setup guide

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

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

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

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Common questions about Flowcode MCP in Pydantic AI

Install the extension and initialize `MCPToolset` with your Vinkius server URL. Pass it to your agent's `toolsets` argument to get fully typed QR code management.

The framework validates all tool outputs at runtime. If `get_flowpage_contacts` returns data that violates your schema, your agent raises a validation error instantly instead of failing silently.

Yes, your agent can call `list_folders` to discover your directory structure. The response is parsed into type-safe models, making it easy to organize codes without string formatting bugs.

Since the framework is model-agnostic, you can use OpenAI, Anthropic, or local models. The validation happens at the Python runtime level, ensuring consistent data structures across all models.

Your geographic analytics from `get_geographic_analytics` are processed strictly in memory within ephemeral V8 isolates. We use zero-trust network policies to ensure location data is never cached or exposed to third parties.

Use it with your favorite AI tools

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

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