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Unbounce MCP Server for CrewAIGive CrewAI instant access to 10 tools to Get Lead, Get Me, Get Page, and more

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

Ask AI about this MCP Server for CrewAI

The Unbounce MCP Server for CrewAI is a standout in the Growth Engine category — giving your AI agent 10 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Unbounce Specialist",
    goal="Help users interact with Unbounce effectively",
    backstory=(
        "You are an expert at leveraging Unbounce 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 Unbounce "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

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

Connect your Unbounce account to any AI agent and simplify how you manage your conversion-focused landing pages, lead data, and custom domains through natural conversation.

When paired with CrewAI, Unbounce becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Unbounce 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

  • Landing Page Control — List and inspect all landing pages across your sub-accounts and retrieve detailed configuration metadata.
  • Lead Analysis — List and query all leads submitted through your forms, and retrieve individual lead data for processing.
  • Domain Oversight — List custom domains registered in your account to verify connectivity and SSL status.
  • Account Organization — Manage sub-accounts and page groups to keep your marketing assets structured.
  • Form Insight — List all form fields across page variants to understand your data collection points.
  • User Monitoring — Fetch account details and verify your current Unbounce user profile.

The Unbounce MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Unbounce tools available for CrewAI

When CrewAI connects to Unbounce through Vinkius, your AI agent gets direct access to every tool listed below — spanning landing-pages, conversion-optimization, lead-generation, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get lead on Unbounce

Get details for a specific lead

get

Get me on Unbounce

Get current Unbounce user details

get

Get page on Unbounce

Get details for a specific landing page

list

List accounts on Unbounce

List all Unbounce accounts

list

List domains on Unbounce

List custom domains

list

List form fields on Unbounce

List form fields for a page

list

List leads on Unbounce

List leads for a page

list

List page groups on Unbounce

List page groups

list

List pages on Unbounce

List pages for a sub-account

list

List sub accounts on Unbounce

List sub-accounts (clients)

Connect Unbounce to CrewAI via MCP

Follow these steps to wire Unbounce into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Unbounce

Why Use CrewAI with the Unbounce MCP Server

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

01

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

02

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

03

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

04

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

Unbounce + CrewAI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Unbounce in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Unbounce immediately.

01

"List all landing pages in my sub-account '10293'."

02

"Show me the latest 5 leads from the 'Summer Promo' page."

03

"Check the status of custom domains in my account."

Troubleshooting Unbounce MCP Server with CrewAI

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

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

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.

Unbounce + CrewAI FAQ

Common questions about integrating Unbounce MCP Server with CrewAI.

01

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.
02

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.
03

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.
04

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.
05

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.

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