How to Use the Unleash (Feature Toggles) MCP in Mastra AI

Q: How do I fetch feature flags with Unleash (Feature Toggles) and Mastra AI?

Call getclientfeatures. This tool fetches all active feature flags and strategies needed for server-side evaluation, ensuring your workflow runs correctly.

Q: Can I list projects with Unleash (Feature Toggles) and Mastra AI?

Yes. The listprojects tool gives you a comprehensive list of every project configured in your Unleash account, allowing targeted automation.

Q: What data type is accessed regarding privacy in Unleash (Feature Toggles) and Mastra AI?

This MCP Server touches user configuration data via the listusers tool. Your agent can fetch all configured users, which helps determine if a feature should be active for that individual.

Q: Do I need to list environments with Unleash (Feature Toggles) and Mastra AI?

You use listenvironments to pull every environment set up in your account. This helps you verify if a feature toggle is active for the correct deployment stage.

Q: How do I register an instance with Unleash (Feature Toggles) and Mastra AI?

Use registerclient to formally register a new backend SDK instance. This step ensures that when your workflow runs, the MCP Server tracks its usage metrics.

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Connect Unleash (Feature Toggles) MCP to Mastra AI

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Setup Unleash (Feature Toggles) with Mastra AI

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Evaluate Features for Specific Clients

Use `get_client_features` to fetch all feature flags and strategies relevant to a specific context. You can also run `get_frontend_features`, passing in details like a user ID or other properties.

Manage Project Features via MCP Server

To see what features are available for a project, call `list_project_features` with the required project ID. For general discovery, you can also use `list_projects`, which fetches all configured projects.

Report Flag Usage Metrics from SDK

After your workflow completes, report usage metrics using tools like `report_client_metrics` or `report_frontend_metrics`. This sends detailed flag usage data through the MCP Server for auditing.

Setup guide

Set up Unleash (Feature Toggles) 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 Unleash (Feature Toggles) 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: "unleash-feature-toggles-mcp-client",
  servers: {
    "unleash-feature-toggles-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

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Common questions about Unleash (Feature Toggles) MCP in Mastra AI

Call `get_client_features`. This tool fetches all active feature flags and strategies needed for server-side evaluation, ensuring your workflow runs correctly.

Yes. The `list_projects` tool gives you a comprehensive list of every project configured in your Unleash account, allowing targeted automation.

This MCP Server touches user configuration data via the `list_users` tool. Your agent can fetch all configured users, which helps determine if a feature should be active for that individual.

You use `list_environments` to pull every environment set up in your account. This helps you verify if a feature toggle is active for the correct deployment stage.

Use `register_client` to formally register a new backend SDK instance. This step ensures that when your workflow runs, the MCP Server tracks its usage metrics.

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