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CustomerGauge MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect CustomerGauge through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "customergauge": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "CustomerGauge Agent",
    instructions:
      "You help users interact with CustomerGauge " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with CustomerGauge?"
  );
  console.log(result.text);
}

main();
CustomerGauge
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About CustomerGauge MCP Server

Integrate CustomerGauge, the leading B2B Experience Management platform, directly into your AI workflow. Monitor customer survey responses, track Net Promoter Scores (NPS) across your account portfolio, and analyze the revenue impact of customer experience using natural language.

Mastra's agent abstraction provides a clean separation between LLM logic and CustomerGauge tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Response Monitoring — List and retrieve full details for customer survey responses and feedback.
  • Account NPS Tracking — Monitor NPS metrics for specific business accounts and business units.
  • Contact Insights — Access detailed profiles and survey history for individual account contacts.
  • Revenue Impact Analysis — List revenue data associated with accounts to understand experience-driven growth.

The CustomerGauge MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect CustomerGauge to Mastra AI via MCP

Follow these steps to integrate the CustomerGauge MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from CustomerGauge via MCP

Why Use Mastra AI with the CustomerGauge MCP Server

Mastra AI provides unique advantages when paired with CustomerGauge through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add CustomerGauge without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every CustomerGauge tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

CustomerGauge + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the CustomerGauge MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query CustomerGauge, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed CustomerGauge as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query CustomerGauge on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using CustomerGauge tools alongside other MCP servers

CustomerGauge MCP Tools for Mastra AI (10)

These 10 tools become available when you connect CustomerGauge to Mastra AI via MCP:

01

get_account_nps

Resolves quantitative satisfaction scores. Interacts with the sentiment aggregation engine. Get the Net Promoter Score (NPS) for a specific account

02

get_business_unit_nps

Resolves organizational performance data. Interacts with the business unit hierarchy. Get NPS metrics for a specific business unit

03

get_contact_profile

Resolves interaction history and individual sentiment trends. Interacts with the customer lifecycle boundary. Get detailed profile and survey history for a contact

04

get_portfolio_nps_summary

Resolves global experience metrics. Touches the executive reporting boundary. Get an overall NPS summary across your entire account portfolio

05

get_response_details

Resolves verbatim comments, respondent metadata, and driver scores. Touches the granular feedback analytics boundary. Get full details for a specific survey response

06

list_account_contacts

Resolves contact identifiers and associated account links. Touches the CRM and relationship boundary. List contacts associated with your business accounts

07

list_b2b_accounts

Resolves account IDs, names, and organizational mappings. Touches the account management and segmentation boundary. List all business accounts managed in CustomerGauge

08

list_revenue_impact_data

Resolves monetary values and account associations for ROI calculation. Touches the financial data integration boundary. List revenue data associated with accounts for experience impact analysis

09

list_survey_responses

Resolves response IDs, scores (NPS), and timestamp data. Interacts with the survey response repository. List all customer survey responses in CustomerGauge

10

search_responses_by_keyword

Resolves feedback entries matching the query keyword. Touches the indexed text search boundary. Search through survey comments and feedback by keyword

Example Prompts for CustomerGauge in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with CustomerGauge immediately.

01

"List all survey responses received this morning."

02

"What is the current NPS for account 'Global Logistics'?"

03

"Search for feedback containing the word 'pricing'."

Troubleshooting CustomerGauge MCP Server with Mastra AI

Common issues when connecting CustomerGauge to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

CustomerGauge + Mastra AI FAQ

Common questions about integrating CustomerGauge MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect CustomerGauge to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.