How to Use the Basin MCP in Mastra AI

Q: How do I configure the Basin MCP Server in Mastra AI?

Run npm install @mastra/mcp@latest and create a new MCPClient instance. Map your Vinkius server URL in the servers object, then spread mcpClient.listTools() into your agent configuration.

Q: How do I require human approval before deleting a Basin submission?

Enable requireToolApproval for the deletesubmission tool in your agent setup. The workflow will pause and wait for a manual confirmation before dropping the record.

Build reliable form processing workflows in Mastra AI using the Basin MCP Server.

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Connect Basin MCP to Mastra AI

Create your Vinkius account to connect Basin 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 Basin with Mastra AI

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Claude

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Route Basin Forms with Mastra AI

Mastra AI workflows pull new leads using `get_latest_submission` and evaluate their content. If a user submits a high-value inquiry, the agent branches the logic to notify sales immediately. Lower priority entries get handled differently. The system might call `list_form_submissions` to check historical context before deciding how to tag the contact.

Retry Failed Webhook Triggers

When your agent calls `refire_webhooks` and the destination server drops the connection, the workflow engine applies exponential backoff. Hitting third-party APIs often results in timeouts, but Mastra handles that automatically. You define the retry limits while the MCP Server executes the actual network requests. Verifying the initial connection state happens through `get_account_check` before the loop even starts.

Conditional Spam Management

Automated agents can parse incoming records with `get_submission` to detect junk patterns. Before permanently deleting anything, Mastra pauses the workflow and requests human approval. Once a manager clicks approve, the agent executes `mark_as_spam` or `delete_submission`. You get complete automation without the risk of trashing legitimate customer inquiries.

Setup guide

Set up Basin 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 Basin 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: "basin-mcp-client",
  servers: {
    "basin-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Basin 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 Basin. 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 Basin MCP in Mastra AI

Run `npm install @mastra/mcp@latest` and create a new `MCPClient` instance. Map your Vinkius server URL in the servers object, then spread `mcpClient.listTools()` into your agent configuration.

The built-in workflow engine applies exponential backoff automatically. If `refire_webhooks` hits a network snag, Mastra waits and tries again based on your settings.

Enable `requireToolApproval` for the `delete_submission` tool in your agent setup. The workflow will pause and wait for a manual confirmation before dropping the record.

It auto-detects between Streamable HTTP and SSE. You just provide the Vinkius endpoint, and the client negotiates the best connection method automatically.

Vinkius processes your raw lead data inside an ephemeral sandbox that vanishes after execution. Mastra receives the API response, but the MCP infrastructure retains zero persistent logs of your customer PII.

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