How to Use the 99Minutos Express MCP in CrewAI
Deploy specialized agent crews to coordinate physical deliveries and track couriers using CrewAI.
Works with every AI agent you already use
…and any MCP-compatible client
Connect 99Minutos Express MCP to CrewAI
Create your Vinkius account to connect 99Minutos Express 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.
Multi-Agent LatAm Logistics Coordination
This MCP Server lets your agents divide and conquer by checking coverage with `list_coverage`. Your Dispatcher Agent verifies the region, while your Pricing Agent runs `get_rates` to find the cheapest route. Once they agree, your Booking Agent executes `create_order` to call the courier. This multi-agent setup ensures you never dispatch a courier to an unsupported ZIP code.
Autonomous Shipment Tracking with CrewAI
This MCP Server puts your delivery tracking on autopilot by pulling coordinates with `get_tracking`. A Monitor Agent watches vehicle coordinates, while a Moderator Agent watches for anomalies like a driver stuck in traffic. If a shipment is delayed, the Monitor Agent uses `get_order` to pull the delivery details and hands them to a Support Agent to notify the customer. No human has to watch a tracking screen.
Automated Reverse Logistics Auditing
Let your CrewAI agents manage returns by calling `list_return_orders`. A Returns Auditor Agent finds outstanding customer returns and matches them against active warehouse inventory. If a return is stuck, the auditor agent runs `get_order` to see why the courier run was delayed and alerts your warehouse team. It keeps your inventory accurate without manual audits.
Set up 99Minutos Express MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. 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
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke 99Minutos Express tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="99Minutos Express Analyst",
goal="Access and analyze 99Minutos Express data via MCP.",
backstory="Expert analyst with direct 99Minutos Express access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent 99Minutos Express transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
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="99Minutos Express Analyst",
goal="Access and analyze 99Minutos Express data via MCP.",
backstory="Expert analyst with direct 99Minutos Express access.",
tools=mcp_tools,
)
task = Task(
description="List recent 99Minutos Express transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by 99Minutos App. 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
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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
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Common questions about 99Minutos Express MCP in CrewAI
Use it with your favorite AI tools
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