How to Use the GatherUp MCP in CrewAI

Deploy a crew of specialized AI agents to monitor, analyze, and reply to GatherUp reviews autonomously with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect GatherUp MCP to CrewAI

Create your Vinkius account to connect GatherUp 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.

GDPR Free for Subscribers

Setup GatherUp with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Deploy a multi-agent review team using this MCP Server

Calling `list_online_reviews` allows your researcher agent to pull the latest public feedback from Google and Facebook. The researcher then passes negative reviews to a customer-support agent, who drafts a response using `reply_to_online_review`. This division of labor keeps your operations organized. While one agent focuses on scanning for new reviews, another handles the actual engagement, preventing your brand from leaving customers hanging.

Coordinate customer onboarding and review requests

Executing `add_new_customer` lets your onboarding agent register new buyers in your database. Once registered, a separate marketing agent takes over, calling `send_review_invite` to request feedback at the perfect moment. CrewAI's shared memory ensures both agents stay aligned. The marketing agent knows exactly when the customer was added, preventing duplicate invites and keeping your communication clean.

Audit local branch performance autonomously

Fetching data with `list_business_locations` gives your supervisor agent a list of all active storefronts. The supervisor assigns an analyst agent to run `get_review_metrics` for each location and compile a weekly performance report. If a location shows a sudden drop in sentiment, the analyst uses `search_all_reviews` to pinpoint the issue. This allows your team to address regional operational problems before they impact your brand's overall rating.

Setup guide

Set up GatherUp 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 GatherUp tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent GatherUp 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 GatherUp. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect GatherUp now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about GatherUp MCP in CrewAI

You pass the Vinkius HTTP endpoint URL directly into the agent's `mcps` list. CrewAI automatically discovers tools like `list_online_reviews` and makes them available to your agents.

Yes, CrewAI supports parallel execution. One agent can query `get_review_metrics` while another uses `send_review_invite` to reach out to recent customers.

You set up a sequential crew where the first agent fetches feedback via `list_internal_feedback` and the second agent replies using `reply_to_feedback` based on the analysis.

No, CrewAI natively parses JSON outputs from the MCP server. Your agents read the raw feedback and customer data directly, treating the tools as native Python functions.

Vinkius processes all data through a zero-trust, ephemeral sandbox. Your customer reviews and internal feedback fetched via `list_internal_feedback` are never cached or used for training, keeping your customer data completely private.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript