What is the Leadpages MCP remote MCP server?
The Leadpages MCP remote MCP server is a hosted Model Context Protocol endpoint at https://mcp.leadpages.com/mcp, so AI assistants can connect to it without installing or running anything locally.

@Leadpages
Basic information
Transport
Streamable HTTP
Authentication
OAuth
Category
Developer Tools
Author
Leadpages
Submitted by
William Chin
Leadpages MCP is a remote MCP server available at https://mcp.leadpages.com.
https://mcp.leadpages.com/mcpclaude mcp add leadpages-mcp --transport http https://mcp.leadpages.com/mcpTool list not available yet
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Category: AI Landing Page Builder, Marketing Automation, Lead Generation, Website Builder, Conversion Rate Optimization
Best for: Developers, Growth Marketers, SaaS Founders, Technical Marketers, Marketing Agencies, Automation Engineers, and Small Businesses
MCP Server URL: https://mcp.leadpages.com/mcp
Official Website: https://leadpages.com/product/mcp-server
Documentation: https://leadpages.com/developers/docs/mcp-server
Leadpages MCP is a Model Context Protocol (MCP) server that connects AI assistants and development tools directly to the Leadpages platform, allowing users to create, edit, publish, and manage landing pages, websites, blogs, and marketing assets using natural language.
Designed for developers, technical marketers, founders, and growth teams, Leadpages MCP brings AI-powered website creation and lead generation into existing workflows. Instead of manually designing every page, switching between marketing tools, or writing repetitive code, users can describe what they want to build and let an AI assistant generate and publish it through Leadpages.
The server supports compatible AI tools such as Claude, ChatGPT, Cursor, Claude Code, and n8n. Through 47 MCP tools, users can manage published pages, create multi-page websites, organize marketing assets, extract brand information, update SEO metadata, and produce campaign-specific content.
One of the core capabilities of Leadpages MCP is the ability to create landing pages with MCP using conversational instructions. Users can describe their audience, offer, messaging, and conversion goal, and have an AI assistant generate a functional landing page.
For example, a SaaS founder could request a product launch page with a waitlist signup form, customer testimonials, and a pricing section. A growth marketer could generate campaign-specific landing pages for different paid advertising audiences. An agency could create branded pages for several clients while maintaining consistent design standards.
Teams can also build websites and sales funnels with MCP by creating interconnected pages for different stages of the customer journey, such as lead capture, event registration, product education, sales, and post-conversion follow-up.
Leadpages MCP helps teams accelerate lead generation with MCP by building pages designed around specific conversion goals.
Marketers can create webinar registration pages, downloadable resource offers, newsletter signup pages, product waitlists, consultation booking pages, and other lead capture experiences.
For conversion optimization with MCP, teams can use AI to revise headlines, calls to action, page structure, testimonials, and supporting content. They can also create alternative page versions for experimentation.
Leadpages supports A/B testing, allowing teams on eligible plans to compare page variations and identify stronger-performing experiences. The MCP supports page content preparation and editing, while experiment setup and performance analysis take place through the relevant Leadpages interfaces.
Leadpages MCP supports landing page SEO with MCP by allowing users to create search-focused pages and manage important on-page metadata.
AI assistants can generate landing page content around a target search intent, create relevant heading structures, and update SEO titles, meta descriptions, canonical URLs, social sharing metadata, and indexing settings.
This makes the server useful for marketers working on search engine optimization (SEO), generative engine optimization (GEO), and AI search visibility.
Teams can create dedicated landing pages for different products, audiences, industries, use cases, or geographic markets while maintaining consistent branding and messaging.
Leadpages MCP can be incorporated into larger marketing automation workflows using tools such as n8n and other compatible orchestration platforms.
For example, a technical marketer could configure an automated process that generates a new campaign landing page when a product launch is approved. A developer could connect customer or campaign data from another system to an AI workflow that creates specialized landing pages.
Marketing automation with MCP becomes especially useful for teams managing recurring campaigns, events, product launches, or high volumes of landing pages.
CRM integration with MCP can also be achieved through external automation workflows that connect CRM events or audience information to page creation and campaign management.
These integrations depend on the CRM, automation platform, and available connectors rather than a universal native CRM management tool within the Leadpages MCP server.
Leadpages MCP can help teams prepare audience-specific messaging and dynamic landing page experiences.
For website personalization with MCP, marketers can create separate page versions for customer segments, industries, buyer personas, geographic locations, or traffic sources.
Dynamic landing pages with MCP can incorporate campaign-specific messaging and, where supported by the page implementation, dynamic text replacement to align landing page content with advertising keywords or other visitor context.
This allows teams to create more relevant customer experiences without rebuilding every landing page from scratch.
Leadpages provides analytics and conversion measurement capabilities that marketers can use alongside MCP-generated pages.
Teams working on landing page analytics with MCP can use AI to structure page improvements and prepare optimization changes, while reviewing performance metrics through Leadpages reporting or other analytics tools.
For AI traffic optimization with MCP, marketers can develop destination pages tailored to paid search, social advertising, email campaigns, and organic search traffic.
By improving the relationship between visitor intent, landing page messaging, and conversion goals, Leadpages MCP helps growth teams iterate on the pages receiving their traffic.
Leadpages MCP uses OAuth 2.0 authentication with PKCE, allowing compatible AI clients to connect securely without users having to manage API keys.
The server is useful for both nontechnical marketers working through natural-language prompts and developers integrating page creation into more sophisticated AI-powered workflows.
By connecting content creation, page publishing, website management, and marketing operations through a single MCP server, Leadpages reduces the manual work involved in launching and maintaining digital marketing campaigns.
Whether a startup is preparing its first landing page or an agency is managing campaigns across multiple clients, Leadpages MCP provides an AI-accessible way to turn marketing ideas into published web experiences.
AI-powered landing page creation: Create landing pages with MCP using natural-language prompts, including page copy, HTML structure, forms, images, and calls to action.
AI website and sales funnel builder: Build websites and sales funnels with MCP by generating multiple pages, organizing them into sites, and connecting campaign experiences.
Lead generation page creation: Build opt-in pages, newsletter signup pages, webinar registrations, product waitlists, downloadable resource pages, and consultation offers.
Conversion optimization and page editing: Update headlines, calls to action, page layouts, offers, and social proof to improve visitor engagement and support conversion optimization with MCP.
A/B testing content preparation: Create and revise page variations for A/B testing with MCP. Manage experiment configuration and performance measurement through Leadpages' supported testing interface.
Landing page SEO management: Manage meta titles, descriptions, canonical URLs, Open Graph metadata, and search indexing settings for landing page SEO with MCP.
Multi-page website management: Create websites, assign pages to sites, configure homepages, and organize content across campaigns.
AI-assisted brand kit generation: Extract brand colors, typography, and visual elements from websites to create consistently branded marketing pages.
Marketing automation workflows: Integrate Leadpages MCP with compatible AI agents and automation platforms to generate pages from business events and campaign triggers.
CRM-connected campaign workflows: Use external integrations to connect CRM information or events to AI-powered landing page creation and lead generation workflows.
Website personalization support: Create audience-specific landing pages for different industries, customer profiles, campaign segments, or markets.
Dynamic landing page content: Generate pages with targeted messaging and support appropriate dynamic text replacement implementations.
Blog creation and publishing: Create, edit, organize, and publish blog posts and manage blog-related content through AI assistants.
Asset and media management: Upload or import images, fonts, styles, and other supported assets for use across published pages.
Website analysis and page recreation: Analyze existing websites to extract design inspiration, content structure, colors, and typography for new pages.
Campaign-specific traffic experiences: Generate distinct landing pages for paid search, social advertising, email marketing, and other acquisition channels.
AI-assisted landing page optimization: Refine page content based on conversion hypotheses and insights reviewed in external reporting tools.
Developer-friendly MCP integration: Connect compatible developer environments, AI assistants, and agent workflows through the Model Context Protocol.
Secure authentication: Use OAuth 2.0 with PKCE for authorized access without managing API keys.
Scalable marketing page management: List, retrieve, organize, edit, and maintain pages across different marketing initiatives and organizational accounts.
The Leadpages MCP remote MCP server is a hosted Model Context Protocol endpoint at https://mcp.leadpages.com/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://mcp.leadpages.com/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
Yes. Leadpages MCP uses OAuth: the first time you connect, your MCP client opens a browser window to sign in and authorize access, then reuses the credentials for future sessions.
Leadpages MCP exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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