How to Use the 15Five MCP in Mastra AI

Q: Can Mastra AI read 15Five check-ins?

Your agent executes the listcheckins tool to grab recent employee submissions. You can filter the results by user ID to build specific performance reports.

Wire up 15Five performance workflows using Mastra AI conditional branching.

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Connect 15Five MCP to Mastra AI

Create your Vinkius account to connect 15Five 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 15Five with Mastra AI

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Trigger high fives via Mastra AI workflows

The `send_high_five` tool pushes public recognition to a colleague based on specific workflow conditions. Your Mastra AI agent evaluates a trigger, grabs the recipient's email, and fires off the message. Network hiccups happen when hitting external HR systems. Mastra automatically handles retries with exponential backoff if the 15Five MCP Server drops the request.

Track check-ins and objectives

Firing `list_checkins` combined with `list_objectives` lets your workflow engine audit weekly updates against actual OKRs. You build a multi-step sequence that flags missed targets. Setting up `requireToolApproval` adds a human-in-the-loop step before the agent sends any feedback. Managers review the AI's analysis before it moves to the next branch.

Audit department structures

Using `list_departments` and `list_users` gives your agent the exact team layout. It identifies missing check-ins by cross-referencing active employees with recent submissions. Getting these tools into your agent is simple. Call `listTools()` on the initialized client and spread them directly into your Mastra configuration.

Setup guide

Set up 15Five 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 15Five 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: "15five-mcp-client",
  servers: {
    "15five-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "15Five Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to 15Five tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent 15Five 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 15Five. 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 15Five MCP in Mastra AI

Run npm install @mastra/mcp@latest in your project. Instantiate the client with your Vinkius URL, and the system auto-detects whether to use Streamable HTTP or SSE.

Your agent executes the list_checkins tool to grab recent employee submissions. You can filter the results by user ID to build specific performance reports.

Human oversight is built right in. You can require manual sign-off before the agent executes write operations like sending a high five.

The framework relies on built-in exponential backoff. It will retry the operation automatically before failing the entire workflow branch.

Private employee sentiment and department mappings are strictly isolated. Vinkius routes the payloads through a zero-trust sandbox that holds zero state, keeping your internal HR chatter strictly between the API and your app.

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