How to Use the Lever MCP in Mastra AI

Build complex, failure-aware hiring workflows in Mastra AI with this Lever MCP Server integration.

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…and any MCP-compatible client

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Connect Lever MCP to Mastra AI

Create your Vinkius account to connect Lever 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 Lever with Mastra AI

Ask AI about this MCP

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Claude

Perplexity

Resilient Pipeline Automation

Chain your hiring steps using `update_opportunity_stage` within a Mastra AI workflow. It handles the logic for moving candidates when conditions are met. If an API call hits a snag, the framework retries the operation automatically. This keeps your pipeline moving even if the connection blips.

Conditional Candidate Routing

Use `get_opportunity_details` to check where a candidate sits in your process. Branch your agent logic based on these findings. Apply `archive_hiring_opportunity` if your agent decides a candidate doesn't fit the current requirements. It keeps your ATS clean and organized.

Dynamic Job Posting Control

Create new roles on the fly using `create_job_posting` based on your internal demand signals. Use `list_hiring_stages` to ensure your agent understands the current pipeline structure before it takes any action. It prevents errors by verifying stages first.

Setup guide

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

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

const result = await agent.generate(
  "List recent Lever 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 Lever. 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.

Why Choose Vinkius

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Built-in savings

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place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Lever MCP in Mastra AI

You instantiate an MCPClient pointing to the server URL and spread the tools into your agent configuration. This gives your agent direct access to all ten Lever operations.

Yes. Since Mastra AI includes a built-in workflow engine, you can configure retry policies for any tool call, ensuring your ATS updates don't fail due to temporary network issues.

You can. By setting the requireToolApproval flag, you force the agent to pause until you manually sign off on sensitive actions like moving a candidate to an offer stage.

The server executes commands as requested. You manage the frequency within your Mastra AI workflow logic to stay within the API limits of your specific account.

The server touches only the fields returned by the API, such as candidate identifiers and opportunity details. It operates within a secure, ephemeral session created by your agent.

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