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How to Use the Neon MCP in Mastra AI

Automate Postgres infrastructure workflows with Mastra AI. Build resilient database provisioning pipelines with automatic retries.

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Connect Neon MCP to Mastra AI

Create your Vinkius account to connect Neon 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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Build Resilient Neon MCP Server Workflows

`create_project` and `create_branch` act as the foundation for automated database provisioning inside Mastra AI. You feed these tools into an agent to handle complex infrastructure setups. If a developer requests a new testing environment, the agent executes the branch creation and waits for the API response before proceeding to the next workflow step. Network hiccups happen, but Mastra's workflow engine catches them. If a call to `create_endpoint` times out, the built-in exponential backoff automatically retries the operation. You get reliable, hands-off Postgres provisioning without writing custom error handling for every single API call.

Conditional Database Operations

`list_branches` and `list_databases` let your agents make decisions based on live infrastructure state. Your workflow checks if a specific feature branch exists. If it does, the agent triggers `update_project` or fetches connection details. If it doesn't, the agent shifts paths and provisions a new environment from scratch. This logic replaces manual ticketing. You string together `create_role` and `get_connection_uri` to automatically generate credentials for new hires. The workflow evaluates the user's department, assigns the correct read-only or read-write endpoint, and delivers the connection string over Slack.

Human-in-the-Loop Destructive Actions

`delete_project` and `delete_branch` wipe out entire Postgres environments and all associated data. You do not want agents running these autonomously through an MCP integration. By using Mastra's `requireToolApproval` feature, you pause the workflow right before execution. A human reviews the target project ID, approves it, and the agent finishes the job. You avoid accidental data loss while still automating the cleanup process. The agent finds stale branches using `list_endpoints` to check for idle states, queues them for deletion, and pings an admin. Once approved, the infrastructure shrinks, saving you money without risking production data.

Setup guide

Set up Neon 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

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

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

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Neon. 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 Neon MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize a new `MCPClient` with your Vinkius URL. Call `mcpClient.listTools()` and spread the results directly into your Mastra Agent's tool array.
It handles this out of the box. If `create_branch` fails due to a temporary Neon API limit, Mastra uses exponential backoff to re-attempt the clone without breaking the workflow.
Flag `delete_project` and `delete_branch` with Mastra's `requireToolApproval`. The agent will halt execution and wait for explicit human confirmation before dropping any databases.
Yes. The tools return immediate metadata. The agent parses the result of `create_endpoint` and can conditionally proceed to run migrations or seed data based on the active state.
The MCP Server processes highly sensitive PostgreSQL passwords and host addresses via `get_connection_uri`. Vinkius isolates this operation in a zero-trust execution environment, meaning your database credentials are never logged, stored, or exposed outside the immediate tool execution cycle.

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