Mcp

MCP Server

Connect AI assistants to LanderLab via the Model Context Protocol. Manage landing pages, analytics, leads, and A/B tests from Claude, Cursor, Windsurf, Manus, or any MCP-compatible client.

https://api.landerlab.dev/api/v2/mcp

API key auth · 30+ tools · Works everywhere

Overview

The LanderLab MCP server gives AI assistants the ability to list landers, pull analytics, publish and unpublish pages, manage leads, run A/B tests, and more on your behalf. Instead of switching between your AI tool and the LanderLab dashboard, your assistant handles it in one conversation. Who is this for? Performance marketers, media buyers, and teams who want to manage their LanderLab account faster. Ask your AI assistant what you need in plain English and it calls the right API for you. How it works. The MCP server exposes tools that your AI assistant can call during a conversation. When you say “list my landers in workspace 1,” the assistant calls landers_list and returns the results. One server, one API key, and you are ready to go.

Get Your API Key

Before connecting any client, you need an API key.

Open API Keys

Create a new key

Click Create and copy the key immediately.

The key is only shown once. If you lose it, create a new one.

Your key starts with ll_live_ and looks like this:

ll_live_2f20699a_e632aa7ad57f532d2d3eca2b67d73930...

Quick Connect

Claude Code

Run the CLI command

Open your terminal and run:

claude mcp add --transport http landerlab \
  https://api.landerlab.dev/api/v2/mcp \
  --header "X-API-Key: ll_live_YOUR_KEY_HERE" \
  --header "Content-Type: application/json" \
  --header "Accept: application/json, text/event-stream"

Replace ll_live_YOUR_KEY_HERE with your actual key.

Verify the connection

Type /mcp in Claude Code. You should see landerlab listed. Try asking “List my workspaces” to confirm.

Claude Desktop

Open the config file

Find your claude_desktop_config.json:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Add the server

Add this to the file:

{
  "mcpServers": {
    "landerlab": {
      "type": "http",
      "url": "https://api.landerlab.dev/api/v2/mcp",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream",
        "X-API-Key": "ll_live_YOUR_KEY_HERE"
      }
    }
  }
}

Restart Claude Desktop

Close and reopen the app. LanderLab tools will be available in your next conversation.

ChatGPT (Custom GPT / MCP-Compatible Setup)

1. Get your API key

In LanderLab:

Go to Organization → API Keys
Click Create
Copy the API key immediately

Your key looks like:

ll_live_2f20699a_e632aa7ad57f532d2d3eca2b67d73930...

2. Configure the MCP server

Use the following MCP endpoint:

https://api.landerlab.dev/api/v2/mcp

Required headers:

{
  "X-API-Key": "ll_live_YOUR_KEY_HERE",
  "Content-Type": "application/json",
  "Accept": "application/json, text/event-stream"
}

3. Add it to your ChatGPT MCP client

If your ChatGPT environment supports MCP connections, add this configuration:

{
  "mcpServers": {
    "landerlab": {
      "type": "http",
      "url": "https://api.landerlab.dev/api/v2/mcp",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream",
        "X-API-Key": "ll_live_YOUR_KEY_HERE"
      }
    }
  }
}

4. Verify the connection

Once connected, you can use natural language prompts like:

“List all my landers”
“Show analytics for my top converting page”
“Publish lander X”
“Show all leads from workspace 1” ChatGPT will automatically call the appropriate LanderLab MCP tools behind the scenes.

Cursor

Open the config file

Create or edit .cursor/mcp.json in your project root.

Add the server

{
  "mcpServers": {
    "landerlab": {
      "type": "http",
      "url": "https://api.landerlab.dev/api/v2/mcp",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream",
        "X-API-Key": "ll_live_YOUR_KEY_HERE"
      }
    }
  }
}

Restart Cursor

The LanderLab tools will appear in your next agent session.

Windsurf

Open MCP settings

Go to Windsurf Settings > MCP or edit ~/.codeium/windsurf/mcp_config.json.

Add the server

{
  "mcpServers": {
    "landerlab": {
      "type": "http",
      "url": "https://api.landerlab.dev/api/v2/mcp",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream",
        "X-API-Key": "ll_live_YOUR_KEY_HERE"
      }
    }
  }
}

Restart Windsurf

Reopen the editor and the tools will be available.

Manus

Open MCP settings

In Manus, go to Settings > MCP Servers (or Integrations > MCP) and click Add Server.

Configure the server

Fill in the connection details:

Name: landerlab
Transport: HTTP (Streamable HTTP)
URL: https://api.landerlab.dev/api/v2/mcp

Add the following headers:

Header	Value
`X-API-Key`	`ll_live_YOUR_KEY_HERE`
`Content-Type`	`application/json`
`Accept`	`application/json, text/event-stream`

Replace ll_live_YOUR_KEY_HERE with your actual key.

Save and verify

Save the configuration. In a new Manus task, ask “List my LanderLab workspaces” to confirm the tools are available.

If Manus prefers a JSON-style configuration, use:

{
  "mcpServers": {
    "landerlab": {
      "type": "http",
      "url": "https://api.landerlab.dev/api/v2/mcp",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream",
        "X-API-Key": "ll_live_YOUR_KEY_HERE"
      }
    }
  }
}

ChatGPT

Open MCP settings

In ChatGPT, open Settings > Connectors > MCP Servers (or the MCP integrations area available in your workspace).

Add the server

Configure the MCP server with the following values:

Name: landerlab
Transport: HTTP
URL: https://api.landerlab.dev/api/v2/mcp

Add these headers:

Header	Value
`X-API-Key`	`ll_live_YOUR_KEY_HERE`
`Content-Type`	`application/json`
`Accept`	`application/json, text/event-stream`

Replace ll_live_YOUR_KEY_HERE with your actual key.

Save and verify

Save the configuration and start a new chat.Try prompts like:

“List my LanderLab workspaces”
“Show analytics for my top lander”
“Publish lander X”

ChatGPT will automatically call the appropriate MCP tools.

If your ChatGPT environment supports JSON-based MCP configuration, you can also use:

{
  "mcpServers": {
    "landerlab": {
      "type": "http",
      "url": "https://api.landerlab.dev/api/v2/mcp",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream",
        "X-API-Key": "ll_live_YOUR_KEY_HERE"
      }
    }
  }
}

## Other MCP Clients

Any client that supports the MCP HTTP transport can connect. Point it to:

```text
https://api.landerlab.dev/api/v2/mcp

Set these headers:

Header	Value
`X-API-Key`	Your `ll_live_...` key
`Content-Type`	`application/json`
`Accept`	`application/json, text/event-stream`

Tools Reference

Your organization is auto-resolved from the API key. No need to pass an organization ID.

Read-Only

Tool	Description
`workspaces_list`	List all workspaces
`landers_list`	List landing pages in a workspace
`domains_list`	List domains in a workspace
`domains_list_global`	List all domains across the organization
`integrations_list`	List configured integrations
`leads_list`	List leads for a lander
`leads_list_org`	List leads across the organization
`variants_list`	List A/B test variants
`api_key_list`	List API keys
`dashboard_get`	Get visits, conversions, and leads stats
`analytics_graphs`	Get graph data for a lander
`analytics_stats`	Get detailed stats for a lander
`analytics_reports`	Generate reports for a lander
`reporting_get`	Run multi-lander reporting
`editor_load`	Load HTML and settings for a variant

Mutations

Tool	Description
`lander_publish`	Publish a landing page
`lander_unpublish`	Unpublish a landing page
`editor_save`	Save HTML content for a variant
`editor_save_settings`	Save variant settings
`variants_set_weights`	Set A/B test traffic split
`variants_enable`	Enable a variant
`variants_disable`	Disable a variant
`leads_update`	Update a lead
`leads_delete`	Delete a lead
`leads_update_org`	Update a lead (org-level)
`leads_delete_org`	Delete a lead (org-level)
`lander_integration_enable`	Enable an integration on a lander
`lander_integration_disable`	Disable an integration on a lander
`lander_integration_delete`	Remove an integration from a lander
`integration_create`	Create an org-level integration
`api_key_revoke`	Revoke an API key
`api_key_update`	Update an API key

Full schemas and parameters: API documentation

Authentication

The MCP server uses API key authentication. Pass your key in the X-API-Key header. The setup instructions above handle this automatically. Your key is tied to your organization. Every tool call uses it to identify your account and resolve permissions. No OAuth flow, no tokens to refresh. To revoke a key, go to Organization > API Keys in LanderLab or use the api_key_revoke tool.

Example Prompts

Once connected, just talk to your AI assistant in plain English:

“List all my landers and their status” Calls landers_list and returns page names, URLs, and publish status.

“Show me analytics for lander X over the last 7 days” Calls analytics_stats with the date range and returns visits, conversions, and leads.

“Unpublish lander X” Calls lander_unpublish to take the page offline.

“Set A/B test weights to 70/30 for lander X” Calls variants_set_weights to adjust traffic distribution between variants.

“Show me all leads from workspace 1” Calls leads_list and returns lead data for that workspace.

Troubleshooting

401 Unauthorized - The API key is missing, invalid, or revoked. Make sure the X-API-Key header is set and the key starts with ll_live_. Not Acceptable - The Accept header must include both application/json and text/event-stream. The setup instructions from this guide already set this. This error usually shows up when testing with curl or a custom client. FORBIDDEN: endpoint not accessible via API key - That specific tool has not been opened to API key auth yet. Contact LanderLab support for help. Server not showing up - Check that your config file is saved in the right location and the JSON is valid. Restart your AI tool after any config change.

AI Assistant

API Reference

MCP Server

Overview

Get Your API Key

Quick Connect

Claude Code

Claude Desktop

ChatGPT (Custom GPT / MCP-Compatible Setup)

1. Get your API key

2. Configure the MCP server

3. Add it to your ChatGPT MCP client

4. Verify the connection

Cursor

Windsurf

Manus

ChatGPT

Tools Reference

Read-Only

Mutations

Authentication

Example Prompts

Troubleshooting

​MCP Server

​Overview

​Get Your API Key

​Quick Connect

​Claude Code

​Claude Desktop

​ChatGPT (Custom GPT / MCP-Compatible Setup)

​1. Get your API key

​2. Configure the MCP server

​3. Add it to your ChatGPT MCP client

​4. Verify the connection

​Cursor

​Windsurf

​Manus

​ChatGPT

​Tools Reference

​Read-Only

​Mutations

​Authentication

​Example Prompts

​Troubleshooting

MCP Server

Overview

Get Your API Key

Quick Connect

Claude Code

Claude Desktop

ChatGPT (Custom GPT / MCP-Compatible Setup)

1. Get your API key

2. Configure the MCP server

3. Add it to your ChatGPT MCP client

4. Verify the connection

Cursor

Windsurf

Manus

ChatGPT

Tools Reference

Read-Only

Mutations

Authentication

Example Prompts

Troubleshooting