Flowcode MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Flowcode through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Flowcode Assistant",
instructions=(
"You help users interact with Flowcode. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Flowcode"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 12 tools from Flowcode through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Flowcode, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Flowcode MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from Flowcode
Why Use OpenAI Agents SDK with the Flowcode MCP Server
OpenAI Agents SDK provides unique advantages when paired with Flowcode through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Flowcode + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Flowcode MCP Server delivers measurable value.
Automated workflows: build agents that query Flowcode, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Flowcode, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Flowcode tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Flowcode to resolve tickets, look up records, and update statuses without human intervention
Flowcode MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect Flowcode to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting Flowcode to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Flowcode + OpenAI Agents SDK FAQ
Common questions about integrating Flowcode MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
