How to Use the ConfigCat MCP in Mastra AI

Q: How does the ConfigCat MCP Server handle human-in-the-loop approvals in Mastra AI?

You configure requireToolApproval on critical tools like deleteconfig. The agent will pause execution and wait for your manual confirmation before destroying any configurations.

Automate complex feature rollouts with Mastra AI and ConfigCat using conditional workflows and auto-retries.

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Connect ConfigCat MCP to Mastra AI

Create your Vinkius account to connect ConfigCat 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 ConfigCat with Mastra AI

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Build multi-step rollout workflows with Mastra AI

The `create_setting` and `update_setting_value` tools give your Mastra AI agents the power to execute complex, multi-stage ConfigCat feature rollouts. If a canary deployment shows high error rates, your Mastra AI workflow engine automatically catches the failure and flips the ConfigCat flag back to safe mode. You can set up strict conditional paths in Mastra AI. For instance, have your agent check a performance metric, and if it passes, use these ConfigCat tools to bump the rollout percentage from ten to fifty percent without human intervention.

Safe environment provisioning via ConfigCat MCP Server

The `create_environment` and `create_config` tools let your Mastra AI workflows set up identical ConfigCat testing environments programmatically. When a new developer joins or a pipeline starts, the Mastra AI agent runs these ConfigCat tools, handles any API rate limits with built-in retries, and outputs the fresh environment details. This setup prevents broken pipelines in your Mastra AI workflows. By wrapping these ConfigCat tool calls in Mastra's workflow engine, any temporary network hiccup is absorbed by exponential backoff, keeping your environments consistent.

Automated segment cleanup with human approval steps

The `list_segments` and `delete_segment` tools allow your Mastra AI agents to audit and clean up stale ConfigCat targeting rules. The Mastra AI agent identifies unused user cohorts, flags them for removal, and pauses for human approval before executing the final deletion in ConfigCat. This keeps your ConfigCat dashboard clean. Instead of manually hunting down dead rules, you let the Mastra AI agent compile the list, send a Slack notification, and delete the segment only after you click approve.

Setup guide

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

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

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

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Common questions about ConfigCat MCP in Mastra AI

Instantiate the MCP client with your Vinkius HTTP URL, then spread `mcpClient.listTools()` directly into your Mastra agent's tool array. The framework handles the JSON-RPC communication automatically.

Yes, Mastra's workflow engine has built-in exponential backoff. If `update_setting_value` fails due to a rate limit, the workflow retries the operation until it succeeds.

You configure `requireToolApproval` on critical tools like `delete_config`. The agent will pause execution and wait for your manual confirmation before destroying any configurations.

Yes, you can run the agent locally during development. The Mastra engine connects to the Vinkius-hosted server over secure HTTP, letting you test your rollout logic on your machine.

All targeting rules and segment data are processed within ephemeral Vinkius sandboxes. This MCP Server only handles transient JSON payloads, ensuring your sensitive user identifiers never persist on external disks.

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