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Flowcode MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Flowcode through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Flowcode "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Flowcode?"
    )
    print(result.data)

asyncio.run(main())
Flowcode
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Flowcode MCP Server

Connect your Flowcode account to any AI agent and automate your offline-to-online marketing through the Model Context Protocol (MCP). Flowcode is the leading platform for dynamic QR codes and conversion-optimized landing pages (Flowpages). Now, you can create new codes, monitor scan performance, and retrieve deep audience analytics directly through natural conversation.

Pydantic AI validates every Flowcode tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

  • Dynamic QR Management — List all your Flowcodes, fetch detailed metadata, and create new dynamic codes with instant redirect capabilities.
  • Scan Analytics — Monitor real-time scan performance, conversion rates, and detailed scan activity logs to optimize your campaigns.
  • Flowpage Oversight — Retrieve real-time event data for your landing pages and access CRM contact information submitted via Flowpage forms.
  • Audience Insights — Fetch aggregate demographic and geographic analytics to understand where and how your audience is engaging.
  • Asset Organization — List campaigns and asset folders to maintain a clear structure across your marketing projects.
  • Image Generation — Retrieve specific Flowcode image data or download links directly from the agent.
  • Custom Conversions — Track conversion rates from scan to visit to ensure your marketing funnel is performing optimally.

The Flowcode MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Flowcode to Pydantic AI via MCP

Follow these steps to integrate the Flowcode MCP Server with Pydantic AI.

01

Install Pydantic AI

Run pip install pydantic-ai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.py and run: python agent.py

04

Explore tools

The agent discovers 12 tools from Flowcode with type-safe schemas

Why Use Pydantic AI with the Flowcode MCP Server

Pydantic AI provides unique advantages when paired with Flowcode through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Flowcode integration code

03

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

04

Dependency injection system cleanly separates your Flowcode connection logic from agent behavior for testable, maintainable code

Flowcode + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Flowcode MCP Server delivers measurable value.

01

Type-safe data pipelines: query Flowcode with guaranteed response schemas, feeding validated data into downstream processing

02

API orchestration: chain multiple Flowcode tool calls with Pydantic validation at each step to ensure data integrity end-to-end

03

Production monitoring: build validated alert agents that query Flowcode and output structured, schema-compliant notifications

04

Testing and QA: use Pydantic AI's dependency injection to mock Flowcode responses and write comprehensive agent tests

Flowcode MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect Flowcode to Pydantic AI via MCP:

01

create_flowcode

Create a dynamic QR code

02

get_audience_summary

Get audience demographics

03

get_flowcode

Get Flowcode details

04

get_flowcode_image

Generate QR code image

05

get_flowpage_analytics

Get landing page events

06

get_flowpage_contacts

Get CRM contacts

07

get_geographic_analytics

Get scan locations

08

get_recent_scans

List scan activity log

09

list_campaigns

List marketing campaigns

10

list_conversion_rates

Get funnel analytics

11

list_flowcodes

List all Flowcodes

12

list_folders

List asset folders

Example Prompts for Flowcode in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Flowcode immediately.

01

"List my 10 most recent Flowcodes and their scan counts."

02

"Create a new Flowcode named 'Store Launch' redirecting to 'https://vinkius.com'."

03

"Show me the audience demographic summary for my account."

Troubleshooting Flowcode MCP Server with Pydantic AI

Common issues when connecting Flowcode to Pydantic AI through the Vinkius, and how to resolve them.

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Flowcode + Pydantic AI FAQ

Common questions about integrating Flowcode MCP Server with Pydantic AI.

01

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
02

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
03

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Flowcode MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

Connect Flowcode to Pydantic AI

Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.