How do I get a Delighted API Key?

Log in to your Delighted account, navigate to **Settings > API**, and you can retrieve your unique API Key from that section.

Can I see real-time NPS updates?

Yes, you can use the get_nps_metrics_summary tool to see the latest calculated score and breakdown of responses.

Does the integration support multiple survey types?

Yes, Delighted supports NPS, CSAT, CES, and other survey types. The agent will retrieve responses regardless of the survey methodology used in your account.

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

Name: Delighted
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

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

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Delighted Specialist",
    goal="Help users interact with Delighted effectively",
    backstory=(
        "You are an expert at leveraging Delighted 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 Delighted "
        "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)

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 Delighted MCP Server

Integrate Delighted by Qualtrics, the leading experience management platform, directly into your AI workflow. Monitor your customer feedback in real-time, track Net Promoter Score (NPS) metrics, and analyze survey comments using natural language.

When paired with CrewAI, Delighted becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Delighted 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

Feedback Monitoring — List and retrieve detailed survey responses, including scores and text comments from your customers.
Metric Intelligence — Retrieve overall NPS metrics, including promoter, passive, and detractor counts.
Customer Research — Access feedback history and metadata for specific individuals in your database.
Survey Automation — Add new people to Delighted to trigger feedback surveys directly via chat.

The Delighted 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 Delighted to CrewAI via MCP

Follow these steps to integrate the Delighted 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 Delighted

Why Use CrewAI with the Delighted MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Delighted 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

Delighted + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries Delighted 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 Delighted, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Delighted 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 Delighted against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Delighted MCP Tools for CrewAI (10)

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

add_person_to_survey

Adds a new person to the system and schedules a survey invitation to be sent via the default channel. Add a new person to Delighted to trigger a survey

get_nps_metrics_summary

Returns real-time Net Promoter Score (NPS) along with a breakdown of promoters, passives, and detractors. Retrieve overall NPS metrics, including promoter and detractor counts

get_person_feedback_history

Resolves all previous survey responses, cumulative NPS contribution, and associated person attributes. Get all feedback and metadata for a specific person

get_recent_customer_comments

List the most recent survey responses that include a text comment

get_response_details

Resolves customer details, specific survey channel, and the full text of the feedback comment. Get full details for a specific survey response

list_feedback_contacts

Returns a list of people who have interacted with Delighted, including their email addresses and survey history metadata. List people who have been sent surveys or provided feedback

list_recent_detractors

Identifies "detractors" based on an NPS score between 0 and 6. Identify customers who provided a low NPS score (0-6)

list_survey_responses

Returns response metadata including score, comment, person identifier, and timestamp. List all customer survey responses in Delighted

list_top_promoters

Identifies "promoters" based on an NPS score of 9 or 10. Identify customers who provided a high NPS score (9-10)

search_responses_by_comment

Identifies survey responses where the text matches the provided search term. Search for survey responses containing specific keywords in comments

Example Prompts for Delighted in CrewAI

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

"What is our current NPS score?"

"Show me the last 5 customer comments containing 'pricing'."

"Get the feedback history for 'user@example.com'."

Troubleshooting Delighted MCP Server with CrewAI

Common issues when connecting Delighted 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.

Delighted + CrewAI FAQ

Common questions about integrating Delighted 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.