How to Use the Landing MCP in Mastra AI

Q: How do I integrate Landing with Mastra AI?

Run npm install @mastra/mcp@latest. Instantiate a new MCPClient with your MCP Server URL, then call listTools() to spread them into your agent's configuration.

Q: Can Mastra AI automatically retry failed Landing webhook creations?

That is exactly what it does. If createlandingwebhook hits a network snag, the framework applies exponential backoff and tries again.

Q: Can I require human approval before deleting Landing webhooks in Mastra AI?

Set requireToolApproval on your agent. It pauses the workflow before executing deletelandingwebhook and waits for you to click okay.

Build resilient marketing workflows by linking Mastra AI with your Landing account via this MCP Server.

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Connect Landing MCP to Mastra AI

Create your Vinkius account to connect Landing to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Landing with Mastra AI

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Wire Up Data Pipelines

The `create_landing_webhook` and `delete_landing_webhook` tools let your Mastra AI agents dynamically wire up data pipelines. If a third-party CRM goes down, your workflow can catch the failure and instantly spin up a backup webhook via the MCP Server. You never lose a lead. Hardcoded integrations break. Agentic workflows adapt. You define the failure conditions, and Mastra handles the tool execution to keep the data flowing.

Audit with Mastra AI and MCP

Audit lead capture infrastructure with built-in retries. Your agent calls `list_landing_leads` to pull the latest form submissions. Mastra handles the exponential backoff if the API limits get hit during a massive traffic spike. You do not need to write custom rate-limit handlers. The framework catches the 429 errors and pauses. It tries again when the window clears.

Map Project Hierarchies

Keep your project hierarchy clean automatically. Use `list_landing_projects` combined with `list_landing_pages` to map every active campaign. You can build a workflow that runs every night, checking for orphaned pages and alerting your team. It pulls the raw structure. You tell the agent what defines a dead project, and it flags the matches. You review the output in the morning.

Setup guide

Set up Landing MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Landing tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "landing-mcp-client",
  servers: {
    "landing-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Landing Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Landing tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Landing transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Landing. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Landing MCP in Mastra AI

Run `npm install @mastra/mcp@latest`. Instantiate a new `MCPClient` with your MCP Server URL, then call `listTools()` to spread them into your agent's configuration.

That is exactly what it does. If `create_landing_webhook` hits a network snag, the framework applies exponential backoff and tries again.

Set `requireToolApproval` on your agent. It pauses the workflow before executing `delete_landing_webhook` and waits for you to click okay.

You pull the initial batch via the provided read tools. Your workflow engine can then loop through subsequent calls if you need to extract thousands of records.

Your webhook destination URLs and project metadata pass through a sandboxed execution layer. Vinkius requires a single endpoint token for auth and stores absolutely nothing on disk after the request dies.

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