How to Use the Ashby MCP in Mastra AI

Q: How do I connect the Ashby MCP Server to my Mastra AI agent?

After installing the Mastra MCP package, instantiate a new MCPClient and point it to your Vinkius URL for the Ashby server. Then, just call mcpClient.listTools() and spread the result into your agent's toolset.

Q: Is it possible to require human approval before my agent creates a candidate in Ashby with Mastra AI?

Definitely. You can use Mastra AI's requireToolApproval option on the createashbycandidate tool. This pauses the workflow and waits for a person to approve the action before it runs.

Q: What's the best way to check for duplicate candidates before adding a new one?

Build a workflow in Mastra. First, use the listashbycandidates tool with a name or email filter. Then, use Mastra's conditional logic to decide whether to proceed with the createashbycandidate tool or stop.

Automate complex Ashby recruiting workflows with Mastra AI's fault-tolerant agent framework.

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Connect Ashby MCP to Mastra AI

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Setup Ashby with Mastra AI

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Build Unbreakable Hiring Workflows

These tools connect Ashby actions to your Mastra AI agent. You can build a workflow that tries to `get_ashby_candidate` details, and if it fails, Mastra's engine automatically retries with backoff. Your recruiting automations won't crash on a network hiccup. Chain actions together. For example, `list_ashby_applications` for a specific job, then loop through them to `get_ashby_candidate` for each one. Mastra handles the state and logic; these tools handle the Ashby-specific work.

Add Candidates with Conditional Logic

Use `create_ashby_candidate` inside a Mastra workflow with built-in checks. Before creating a candidate, your agent can first use `list_ashby_candidates` to check for duplicates. Mastra's conditional branching makes this straightforward to code. You decide what happens next. If a duplicate is found, the agent can stop or send a notification. If not, it proceeds. This isn't just a simple API call; it's building an intelligent recruiting process.

Your Ashby MCP Server for Mastra AI

This MCP Server is your agent's direct line to your recruiting pipeline. You can build a workflow that pulls all new job postings with `list_ashby_jobs` and then automatically posts them to an internal message board. The whole process runs reliably in the background. Mastra AI's `requireToolApproval` feature works perfectly here. You can set up workflows that need a human to sign off before a new candidate is created in Ashby, giving you a safety net for your automation.

Setup guide

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

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

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

After installing the Mastra MCP package, instantiate a new `MCPClient` and point it to your Vinkius URL for the Ashby server. Then, just call `mcpClient.listTools()` and spread the result into your agent's toolset.

Yes, that's one of Mastra AI's core strengths. Its workflow engine has built-in support for automatic retries with exponential backoff. Your Ashby automations will be much more reliable.

Definitely. You can use Mastra AI's `requireToolApproval` option on the `create_ashby_candidate` tool. This pauses the workflow and waits for a person to approve the action before it runs.

Build a workflow in Mastra. First, use the `list_ashby_candidates` tool with a name or email filter. Then, use Mastra's conditional logic to decide whether to proceed with the `create_ashby_candidate` tool or stop.

Your agent only accesses specific Ashby data points like application details or interview schedules when it calls a tool. The connection is encrypted end-to-end. Vinkius sandboxes the MCP Server, so it has no memory of your data once the workflow step is complete.

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