Compatible with every major AI agent and IDE
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 Pydantic AI?
Pydantic AI validates every Unbounce tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Unbounce integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Unbounce connection logic from agent behavior for testable, maintainable code
Unbounce in Pydantic AI
Unbounce and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Unbounce to Pydantic AI 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 Pydantic AI
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 Pydantic AI 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 Pydantic AI
Every tool call from Pydantic AI 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 Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your Unbounce MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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