Bring Landing Pages
to CrewAI
Learn how to connect Unbounce to CrewAI and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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.
How it works
- Subscribe to this server
- Enter your Unbounce API Key (found in your account API management)
- Start managing your landing pages from Claude, Cursor, or any MCP client
Who is this for?
- Marketing Managers — quickly check page performance and retrieve new leads via simple AI queries.
- Web Developers — verify domain configurations and form field structures directly from the workspace.
- Conversion Optimizers — get instant bird's-eye views of page groups and variant data via the AI assistant.
Built-in capabilities (10)
Get details for a specific lead
Get current Unbounce user details
Get details for a specific landing page
List all Unbounce accounts
List custom domains
List form fields for a page
List leads for a page
List page groups
List pages for a sub-account
List sub-accounts (clients)
Why CrewAI?
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.
- —
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
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CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the
mcpsparameter 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
Unbounce in CrewAI
Unbounce and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Unbounce to CrewAI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Unbounce in CrewAI
The Unbounce 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. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in CrewAI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Unbounce for CrewAI
Every tool call from CrewAI to the Unbounce MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I see all the leads collected by a specific landing page?
Yes! Use the list_leads tool and provide the Page ID. Your agent will retrieve the complete list of submissions for that page.
How do I list all landing pages in a sub-account?
Use the list_pages query with your Sub-Account ID. The agent will return all landing pages associated with that specific client or project area.
Is it possible to see the form fields used on a page via AI?
Absolutely. Run the list_form_fields query with your Page ID. The agent will retrieve all form fields defined across all variants of that landing page.
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.
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.
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