Cloutly MCP Server for CrewAI 7 tools — connect in under 2 minutes
Connect your CrewAI agents to Cloutly through Vinkius, pass the Edge URL in the `mcps` parameter and every Cloutly tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="Cloutly Specialist",
goal="Help users interact with Cloutly effectively",
backstory=(
"You are an expert at leveraging Cloutly 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 Cloutly "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 7 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Cloutly MCP Server
Cloutly is an all-in-one review management platform that helps businesses collect, manage, and respond to reviews from multiple sources. It aggregates data from Google, Facebook, Trustpilot, and more into one easy location. Use this MCP server to fetch recent reviews, deploy personalized reputation invitations to customers, and respond programmatically all through a single AI assistant.
When paired with CrewAI, Cloutly becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Cloutly tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
The Cloutly MCP Server exposes 7 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 Cloutly to CrewAI via MCP
Follow these steps to integrate the Cloutly 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 7 tools from Cloutly
Why Use CrewAI with the Cloutly MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Cloutly 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
Cloutly + CrewAI Use Cases
Practical scenarios where CrewAI combined with the Cloutly MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries Cloutly 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 Cloutly, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain Cloutly 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 Cloutly against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
Cloutly MCP Tools for CrewAI (7)
These 7 tools become available when you connect Cloutly to CrewAI via MCP:
list_businesses
Retrieve all businesses/locations associated with your Cloutly account
list_campaigns
Retrieve active review campaigns for a specific business
list_pending_reviews
Retrieve reviews that have not been replied to yet
list_reviews
Supports filtering by business and pagination. Retrieve a list of reviews across connected sources
reply_to_review
The reply is posted to the source platform. Post a reply to a review on its original platform
search_reviews_by_author
Search for reviews from a specific customer by name
send_review_invite
Trigger a review request for a customer via Email or SMS
Example Prompts for Cloutly in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with Cloutly immediately.
"Show me the latest reviews aggregated targeting our main branch in Cloutly."
"Send a priority review invitation email to John Doe (john.doe@example.com) for business ID 'xxxx'."
"List all outstanding negative reviews that haven't been replied to in Cloutly."
Troubleshooting Cloutly MCP Server with CrewAI
Common issues when connecting Cloutly to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
Cloutly + CrewAI FAQ
Common questions about integrating Cloutly MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
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?
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?
Can CrewAI agents call multiple MCP tools in parallel?
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)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect Cloutly 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 Cloutly to CrewAI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.