How to Use the GetFeedback MCP in CrewAI

Q: Can CrewAI agents filter GetFeedback responses?

They can. Use listcompletedfeedback combined with agent system prompts to narrow down results by criteria like score or completion date.

Q: Is it possible to verify GetFeedback connectivity in CrewAI?

Include verifyapiconnection as an initial task for your agent crew. If it fails, the crew stops execution to prevent errors.

Q: How to get survey IDs for GetFeedback in CrewAI?

Call listsurveys as the first step in your agent's research phase. It gives the crew the correct IDs for all subsequent tool calls.

Deploy a crew of specialized agents to monitor and act on GetFeedback data with CrewAI.

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Connect GetFeedback MCP to CrewAI

Create your Vinkius account to connect GetFeedback 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 GetFeedback with CrewAI

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Specialized agents for GetFeedback

Assign a researcher agent to `list_survey_responses` while a moderator agent handles `send_survey_invites`. They work in tandem to process feedback and engage customers. This setup keeps your operations organized. One agent focuses on the data, the other on the action, reducing the cognitive load on your primary agent.

Automated feedback analysis in CrewAI

Let a monitor agent poll `list_recent_feedback` continuously. It identifies negative trends and flags them for human review. It scales your support team's efforts. The agent filters the noise from `list_recent_feedback` so you only look at the feedback that requires a response.

Multi-step feedback pipelines in CrewAI

Build a hierarchical crew where the manager agent calls `get_survey_stats` to decide if more invitations are needed via `send_survey_invites`. It turns manual survey management into an autonomous loop. The manager agent evaluates the metrics from `get_survey_stats` and triggers the next step only if conditions are met.

Setup guide

Set up GetFeedback 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 GetFeedback tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent GetFeedback 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="GetFeedback Analyst",
        goal="Access and analyze GetFeedback data via MCP.",
        backstory="Expert analyst with direct GetFeedback access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent GetFeedback 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 GetFeedback. 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 GetFeedback MCP in CrewAI

Pass the GetFeedback server URL to the agents' mcps list. They will automatically register the available tools for their internal use.

They can. Use `list_completed_feedback` combined with agent system prompts to narrow down results by criteria like score or completion date.

Include `verify_api_connection` as an initial task for your agent crew. If it fails, the crew stops execution to prevent errors.

Call `list_surveys` as the first step in your agent's research phase. It gives the crew the correct IDs for all subsequent tool calls.

The server runs in a zero-trust sandbox. Every interaction with survey content is restricted to your specific token and ephemeral session.

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