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

Built by Vinkius GDPR 12 Tools Framework

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.

Vinkius supports streamable HTTP and SSE.

python
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())
Flowcode
Fully ManagedVinkius Servers
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

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.

01

The largest ecosystem of integrations, chains, and agents. combine Flowcode MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

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.

01

RAG with live data: combine Flowcode tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Flowcode, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Flowcode tools with web scrapers, databases, and calculators in a single agent run

04

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:

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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

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

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Flowcode + LangChain FAQ

Common questions about integrating Flowcode MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Flowcode to LangChain

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