Delighted MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add Delighted as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="delighted_agent",
tools=tools,
system_message=(
"You help users with Delighted. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
asyncio.run(main())
* 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use Delighted tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the Delighted MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from Delighted automatically
Why Use AutoGen with the Delighted MCP Server
AutoGen provides unique advantages when paired with Delighted through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use Delighted tools to solve complex tasks
Role-based architecture lets you assign Delighted tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive Delighted tool calls
Code execution sandbox: AutoGen agents can write and run code that processes Delighted tool responses in an isolated environment
Delighted + AutoGen Use Cases
Practical scenarios where AutoGen combined with the Delighted MCP Server delivers measurable value.
Collaborative analysis: one agent queries Delighted while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from Delighted, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using Delighted data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process Delighted responses in a sandboxed execution environment
Delighted MCP Tools for AutoGen (10)
These 10 tools become available when you connect Delighted to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting Delighted to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"Delighted + AutoGen FAQ
Common questions about integrating Delighted MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
Connect Delighted with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Delighted to AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.