Smeetz MCP Server for CrewAIGive CrewAI instant access to 6 tools to Create Booking, Get Booking, Get Customer, and more

Name: Smeetz
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Connect your CrewAI agents to Smeetz through Vinkius, pass the Edge URL in the `mcps` parameter and every Smeetz tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Smeetz MCP Server for CrewAI is a standout in the Ecommerce category — giving your AI agent 6 tools to work with, ready to go from day one.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Smeetz Specialist",
    goal="Help users interact with Smeetz effectively",
    backstory=(
        "You are an expert at leveraging Smeetz 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 Smeetz "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 6 available tools "
        "and what they can do."
    ),
)

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

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About Smeetz MCP Server

Connect your Smeetz account to any AI agent to streamline your booking and commerce workflows through natural conversation.

When paired with CrewAI, Smeetz becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Smeetz 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

Product Catalog — List all available products in your account and fetch detailed metadata for specific items using their unique IDs.
Booking Management — Create new bookings for specific products and dates, including ticket details and customer information, or retrieve existing booking statuses.
Customer Insights — Access your full customer list and retrieve detailed profiles to provide personalized service or analyze buyer behavior.
Real-time Queries — Get instant information on product availability and booking details without leaving your AI interface.

The Smeetz MCP Server exposes 6 tools through the Vinkius. Connect it to CrewAI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 Smeetz tools available for CrewAI

When CrewAI connects to Smeetz through Vinkius, your AI agent gets direct access to every tool listed below — spanning ticketing, booking-management, unified-commerce, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

create

Create booking on Smeetz

Requires product ID, date, ticket details, and customer information. Create a new booking for a specific product and date

get

Get booking on Smeetz

Get detailed information about a specific booking

get

Get customer on Smeetz

Get detailed information about a specific customer

get

Get product on Smeetz

Get detailed information about a specific product

list

List customers on Smeetz

List all customers

list

List products on Smeetz

List all products available in your account

Connect Smeetz to CrewAI via MCP

Follow these steps to wire Smeetz into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 6 tools from Smeetz

Why Use CrewAI with the Smeetz MCP Server

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

Smeetz + CrewAI Use Cases

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

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

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

Example Prompts for Smeetz in CrewAI

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

"List all products available in my Smeetz account."

"Get the details for booking ID 'BK-55221'."

"Create a booking for product 789 on 2025-01-15 for Alice Brown (alice@email.com)."

Troubleshooting Smeetz MCP Server with CrewAI

Common issues when connecting Smeetz to CrewAI through 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.

Smeetz + CrewAI FAQ

Common questions about integrating Smeetz 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.

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