How to Use the AskNicely MCP in CrewAI

Deploy a specialized crew of agents to monitor and manage AskNicely feedback.

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Connect AskNicely MCP to CrewAI

Create your Vinkius account to connect AskNicely to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AskNicely with CrewAI

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Claude

Perplexity

Autonomous survey management with CrewAI

Assign a dedicated agent to monitor responses using `list_responses` and notify a secondary agent when sentiment drops. This setup allows your crew to handle customer escalation autonomously. Your agents work in sequence to ensure no feedback goes unnoticed. The first agent filters the data, while the second agent determines the appropriate follow-up action.

Coordinate survey outreach via CrewAI

Use `trigger_survey` as a tool for your action-oriented agents to reach out to new customers. You can define a research agent to find the right contacts, then pass that list to the survey-triggering agent. This modular approach keeps your CrewAI agents focused. Each member of the team only handles the specific task it was built for, increasing the reliability of your operations.

Analyze NPS trends with CrewAI agents

Aggregate your data with `get_statistics` so your analytical agents can report on overall satisfaction. They look at the numbers and identify shifts in your NPS score over time. These insights help your team make informed decisions without needing to manually check the dashboard. The agent reports the trends directly to your shared memory or Slack channel.

Setup guide

Set up AskNicely MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AskNicely tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AskNicely Analyst",
    goal="Access and analyze AskNicely data via MCP.",
    backstory="Expert analyst with direct AskNicely access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AskNicely transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AskNicely Analyst",
        goal="Access and analyze AskNicely data via MCP.",
        backstory="Expert analyst with direct AskNicely access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AskNicely transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AskNicely. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AskNicely MCP in CrewAI

Yes, simply pass the server URL to the mcps parameter in your CrewAI agent configuration. Each agent in your crew can then access the tools you specify.

Use the built-in CrewAI memory to store survey results. Once one agent retrieves the data, others in the crew can access it for further analysis.

You can restrict which agents have access to specific tools by using the tool_filter option. This ensures only your designated 'action' agent can trigger surveys.

Yes, define the order of your tasks and the agents will execute the tools accordingly. The output of one agent serves as the input for the next.

Your customer survey records are transmitted over an encrypted channel. The Vinkius sandbox ensures that only your authorized agents can access the feedback data.

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