How do I get a CustomerGauge API Key?

Log in to your CustomerGauge dashboard and navigate to the API settings section to generate or retrieve your API Key.

NPS (Net Promoter Score) is a metric used to measure customer loyalty and satisfaction. CustomerGauge specializes in tracking NPS for B2B relationships.

Can I see survey comments in the chat?

Yes, the agent can retrieve and display survey comments and open-ended feedback, allowing you to quickly understand customer sentiment.

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

Name: CustomerGauge
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to CustomerGauge through Vinkius, pass the Edge URL in the `mcps` parameter and every CustomerGauge tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="CustomerGauge Specialist",
    goal="Help users interact with CustomerGauge effectively",
    backstory=(
        "You are an expert at leveraging CustomerGauge tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in CustomerGauge "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, CustomerGauge becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call CustomerGauge tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the CustomerGauge MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

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

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from CustomerGauge

Why Use CrewAI with the CustomerGauge MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with CustomerGauge through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

CustomerGauge + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries CustomerGauge for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries CustomerGauge, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain CustomerGauge tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries CustomerGauge against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

CustomerGauge MCP Tools for CrewAI (10)

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

get_account_nps

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

get_business_unit_nps

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

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

get_portfolio_nps_summary

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

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

list_account_contacts

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

list_b2b_accounts

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

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

list_survey_responses

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

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 CrewAI

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

"List all survey responses received this morning."

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

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

Troubleshooting CustomerGauge MCP Server with CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

CustomerGauge + CrewAI FAQ

Common questions about integrating CustomerGauge MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.