Can I change the destination URL of a Flowcode after it has been created?

Yes! Flowcodes are dynamic by default. You can use the 'create_flowcode' or future update tools via the agent to manage your redirect rules without needing to change the physical QR code image.

How do I see where my QR codes are being scanned geographically?

You can use the 'get_geographic_analytics' tool. The agent will retrieve a summary of scan distribution across different regions, helping you understand where your offline audience is most active.

Can I retrieve contact info from users who scanned my codes?

Yes! If you have forms on your Flowpages, you can use the 'get_flowpage_contacts' tool to retrieve submissions, including names and emails, directly through the agent.

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

Name: Flowcode
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to Flowcode through Vinkius, pass the Edge URL in the `mcps` parameter and every Flowcode tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Flowcode Specialist",
    goal="Help users interact with Flowcode effectively",
    backstory=(
        "You are an expert at leveraging Flowcode tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Flowcode "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Flowcode becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Flowcode tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Flowcode MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 12 tools from Flowcode

Why Use CrewAI with the Flowcode MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Flowcode through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Flowcode + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Flowcode for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Flowcode, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Flowcode tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Flowcode against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Flowcode MCP Tools for CrewAI (12)

These 12 tools become available when you connect Flowcode to CrewAI 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 CrewAI

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

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Flowcode + CrewAI FAQ

Common questions about integrating Flowcode MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.