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CustomerGauge MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect CustomerGauge through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="CustomerGauge Assistant",
            instructions=(
                "You help users interact with CustomerGauge. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from CustomerGauge"
        )
        print(result.final_output)

asyncio.run(main())
CustomerGauge
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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.

The OpenAI Agents SDK auto-discovers all 10 tools from CustomerGauge through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries CustomerGauge, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the CustomerGauge MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from CustomerGauge

Why Use OpenAI Agents SDK with the CustomerGauge MCP Server

OpenAI Agents SDK provides unique advantages when paired with CustomerGauge through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

CustomerGauge + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the CustomerGauge MCP Server delivers measurable value.

01

Automated workflows: build agents that query CustomerGauge, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries CustomerGauge, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through CustomerGauge tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query CustomerGauge to resolve tickets, look up records, and update statuses without human intervention

CustomerGauge MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect CustomerGauge to OpenAI Agents SDK 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting CustomerGauge to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

CustomerGauge + OpenAI Agents SDK FAQ

Common questions about integrating CustomerGauge MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect CustomerGauge to OpenAI Agents SDK

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