How do I get an API Token for GatherUp?

Log in to GatherUp, navigate to Settings > API, and you will find your Client ID and can generate a Bearer Token.

What is the difference between Internal Feedback and Online Reviews?

Internal Feedback (1st-party) is left directly on your GatherUp survey pages. Online Reviews (3rd-party) are retrieved from external sites like Google and Facebook.

Can I reply to Google or Facebook reviews via the agent?

Yes! The 'reply_to_online_review' tool allows you to send responses to third-party platforms that support direct API replies, such as Google and Facebook.

How do I trigger a new review request?

Use the 'send_review_invite' tool and provide the specific Customer ID. The agent will trigger the automated email or SMS campaign configured for that business.

GatherUp MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: GatherUp
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to GatherUp through Vinkius, pass the Edge URL in the `mcps` parameter and every GatherUp 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="GatherUp Specialist",
    goal="Help users interact with GatherUp effectively",
    backstory=(
        "You are an expert at leveraging GatherUp 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 GatherUp "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 12 available tools "
        "and what they can do."
    ),
)

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

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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 GatherUp MCP Server

Connect your GatherUp account to any AI agent to automate your review management and customer feedback workflows through the Model Context Protocol (MCP). GatherUp is a powerful platform that helps businesses monitor reputation, collect 1st-party feedback, and showcase 3rd-party reviews from sites like Google and Facebook. This MCP server enables you to track review streams, reply to customers, and trigger automated review requests directly through natural conversation.

When paired with CrewAI, GatherUp becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call GatherUp tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

Key Features

Business Unit Oversight — List all business locations and retrieve high-level configuration metadata for each unit.
Feedback Management — Access and retrieve first-party feedback left directly by customers via your GatherUp surveys.
Online Review Tracking — Monitor third-party reviews from Google, Facebook, Yelp, and more in a centralized feed.
Real-time Interaction — Send replies to both internal feedback and supported external reviews directly from your chat interface.
Review Request Automation — Trigger new review invites (email/SMS) to specific customers to boost your reputation.
Contact Management — Add and sync customer profiles to specific business locations programmatically.
Reputation Metrics — Fetch high-level statistics and sentiment analysis for any business location instantly.
API Health Monitoring — Verify your connection to the GatherUp v2 API environment seamlessly.

The GatherUp MCP Server exposes 12 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 GatherUp to CrewAI via MCP

Follow these steps to integrate the GatherUp 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 12 tools from GatherUp

Why Use CrewAI with the GatherUp MCP Server

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

GatherUp + CrewAI Use Cases

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

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

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

GatherUp MCP Tools for CrewAI (12)

These 12 tools become available when you connect GatherUp to CrewAI via MCP:

add_new_customer

Sync a customer

get_account_info

Get user identity

get_review_metrics

Get location stats

list_business_locations

List business units

list_customer_contacts

List customers

list_internal_feedback

List direct feedback

list_online_reviews

List external reviews

reply_to_feedback

Reply to internal feedback

reply_to_online_review

g. Google or Facebook). Reply to external review

search_all_reviews

Search all feedback

send_review_invite

Request a review

verify_api_connection

Check connection

Example Prompts for GatherUp in CrewAI

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

"List all my business locations in GatherUp."

"Show me the 5 most recent Google reviews for 'Downtown Cafe' (ID: biz_123)."

"Send a review request to customer 'John Doe' (ID: cust_987)."

Troubleshooting GatherUp MCP Server with CrewAI

Common issues when connecting GatherUp 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.

GatherUp + CrewAI FAQ

Common questions about integrating GatherUp 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.