Flowcode MCP Server for Pydantic AI 12 tools — connect in under 2 minutes
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.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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())
* 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.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
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.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Flowcode integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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.
Type-safe data pipelines: query Flowcode with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Flowcode tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Flowcode and output structured, schema-compliant notifications
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:
create_flowcode
Create a dynamic QR code
get_audience_summary
Get audience demographics
get_flowcode
Get Flowcode details
get_flowcode_image
Generate QR code image
get_flowpage_analytics
Get landing page events
get_flowpage_contacts
Get CRM contacts
get_geographic_analytics
Get scan locations
get_recent_scans
List scan activity log
list_campaigns
List marketing campaigns
list_conversion_rates
Get funnel analytics
list_flowcodes
List all Flowcodes
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.
"List my 10 most recent Flowcodes and their scan counts."
"Create a new Flowcode named 'Store Launch' redirecting to 'https://vinkius.com'."
"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.
MCPServerHTTP not found
pip install --upgrade pydantic-aiFlowcode + Pydantic AI FAQ
Common questions about integrating Flowcode MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Flowcode with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
