How to Use the CustomerGauge MCP in Mastra AI

Build resilient B2B feedback workflows that handle API failures automatically using Mastra AI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CustomerGauge MCP to Mastra AI

Create your Vinkius account to connect CustomerGauge 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.

GDPR Free for Subscribers

Setup CustomerGauge with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Build fault-tolerant MCP Server workflows

Network requests fail. When your agent calls `get_business_unit_nps` to pull organizational metrics, a timeout shouldn't crash your entire pipeline. Mastra wraps these calls in automatic retries with exponential backoff. You define the failure logic. If an account lookup via `list_b2b_accounts` returns empty, your workflow can branch to notify an admin instead of throwing a generic error. The system keeps running.

Automate revenue impact reporting

Financial analysis requires precise execution steps. This MCP integration starts by grabbing monetary values through `list_revenue_impact_data`. Then it feeds those numbers into the next node to calculate ROI. You never have to write the glue code. The agent passes the output directly into `get_account_nps` to correlate satisfaction scores with actual dollars. Everything deploys to your cloud provider with a single command.

Filter and escalate negative survey responses

Catching angry customers early saves accounts. You can set up a background job that hits `list_survey_responses` every hour. The workflow parses the NPS scores and looks for detractors. When it finds a bad score, it branches. It runs `get_contact_profile` to pull the interaction history, then pauses. You can require human-in-the-loop approval before the agent drafts an apology email.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CustomerGauge. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CustomerGauge now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

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

Common questions about CustomerGauge MCP in Mastra AI

Install @mastra/mcp and instantiate a new client. Pass your Vinkius URL into the servers object. Mastra auto-detects whether to use SSE or HTTP transport.

Yes. You can configure a workflow that checks the NPS value. If the score drops below your threshold, the agent triggers an escalation path.

It does. You just enable requireToolApproval on specific operations. The workflow pauses before executing the API call until an admin gives the green light.

The framework handles rate limits natively. It intercepts the 429 errors and applies exponential backoff before trying again. Your long-running tasks won't fail just because of traffic spikes.

Your verbatim comments and contact identifiers stay strictly inside the V8 Isolate Sandbox. The MCP connection is ephemeral, meaning zero customer data persists in Vinkius after the workflow finishes.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript