How do I get my Guesty API credentials?

Log in to your Guesty account, navigate to **Integrations > API & Webhooks**, and create a new set of API credentials to obtain your Client ID and Client Secret.

Can I check availability for specific dates?

Yes! Use the `get_calendar` tool by providing the listing ID and a date range (start and end dates). The agent will return availability and pricing data for that period.

How do I find an owner's revenue information?

Use the `get_owner_revenue` tool with the specific owner ID. The agent will retrieve recent statements including gross revenue, expenses, and net payouts.

Is the integration secure for managing my rental data?

Yes, the integration uses OAuth 2.0 with Client Credentials. Your credentials are encrypted and stored securely within the Vinkius Cloud infrastructure.

Guesty MCP Server for CrewAI 11 tools — connect in under 2 minutes

Name: Guesty
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 11 Tools Framework

Connect your CrewAI agents to Guesty through Vinkius, pass the Edge URL in the `mcps` parameter and every Guesty 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="Guesty Specialist",
    goal="Help users interact with Guesty effectively",
    backstory=(
        "You are an expert at leveraging Guesty 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 Guesty "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 11 available tools "
        "and what they can do."
    ),
)

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

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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 Guesty MCP Server

Connect your Guesty property management platform to any AI agent and take full control of your vacation rental operations through natural conversation.

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

What you can do

Reservation Management — List all reservations, retrieve detailed booking information, and monitor check-in schedules.
Listing Oversight — Access details for all your property listings across platforms like Airbnb, Booking.com, and VRBO.
Guest Communication — Search for guest profiles and retrieve communication history to ensure high-quality service.
Calendar & Pricing — Check availability and pricing for specific dates and listings to optimize occupancy.
Operational Tasks — Monitor cleaning and maintenance tasks to keep your properties in top condition.
Financial Reporting — Retrieve owner statements, revenue data, and business accounting statistics.

The Guesty MCP Server exposes 11 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 Guesty to CrewAI via MCP

Follow these steps to integrate the Guesty 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 11 tools from Guesty

Why Use CrewAI with the Guesty MCP Server

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

Guesty + CrewAI Use Cases

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

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

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

Guesty MCP Tools for CrewAI (11)

These 11 tools become available when you connect Guesty to CrewAI via MCP:

get_accounting_stats

Retrieve business-level accounting summary and statistics

get_calendar

Get availability and pricing calendar for a listing

get_listing

Get detailed information for a specific property listing

get_listing_stats

Retrieve performance statistics for a specific property listing

get_owner_revenue

Returns owner statements: gross revenue, expenses, commissions, net payout

get_reservation

Get details for a specific reservation

list_guests

List guests or search by name/email

list_listings

List all property listings managed in Guesty

list_messages

List communication messages/chats. Optionally filter by guest ID

list_reservations

List reservations. Filter by status (confirmed, stayed, cancelled)

list_tasks

List cleaning and operational tasks

Example Prompts for Guesty in CrewAI

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

"List all confirmed reservations for next week."

"Check availability for listing ID 5520 from April 10th to 15th."

"Show me the accounting stats for this month."

Troubleshooting Guesty MCP Server with CrewAI

Common issues when connecting Guesty 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.

Guesty + CrewAI FAQ

Common questions about integrating Guesty 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.