Flowcode MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Flowcode through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"flowcode": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Flowcode, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Flowcode through native MCP adapters. Connect 12 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the Flowcode MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 12 tools from Flowcode via MCP
Why Use LangChain with the Flowcode MCP Server
LangChain provides unique advantages when paired with Flowcode through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Flowcode MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Flowcode queries for multi-turn workflows
Flowcode + LangChain Use Cases
Practical scenarios where LangChain combined with the Flowcode MCP Server delivers measurable value.
RAG with live data: combine Flowcode tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Flowcode, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Flowcode tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Flowcode tool call, measure latency, and optimize your agent's performance
Flowcode MCP Tools for LangChain (12)
These 12 tools become available when you connect Flowcode to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Flowcode to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFlowcode + LangChain FAQ
Common questions about integrating Flowcode MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
