Are the pickup locations visible if I list coverage endpoints openly?

No. The system protects sensitive core nodes. Also, the primary Bearer Token connecting the logistic grid behaves with absolute `sensitive: true` markings eliminating API key peeking internally or across screen sharing software.

Is it possible to estimate costs exclusively without mistakenly dispatching a live courier?

Definitely! Estimations are securely isolated using exclusively the `get_rates` endpoint. This acts as an inert sandbox fetching pure monetary quotes based on dimensions without generating 'Orders'. Live dispatch strictly requires `create_order` action flags limiting accidental triggers.

99Minutos Express MCP Server for CrewAI 12 tools — connect in under 2 minutes

Name: 99Minutos Express
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 12 Tools Framework

Connect your CrewAI agents to 99Minutos Express through Vinkius, pass the Edge URL in the `mcps` parameter and every 99Minutos Express 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="99Minutos Express Specialist",
    goal="Help users interact with 99Minutos Express effectively",
    backstory=(
        "You are an expert at leveraging 99Minutos Express 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 99Minutos Express "
        "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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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 99Minutos Express MCP Server

Connect your physical Last-Mile Logistic Console (99Minutos) to the Vurb architecture transforming Claude into a literal heavy dispatcher terminal for Same-Day delivery runs globally across LatAm.

When paired with CrewAI, 99Minutos Express becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call 99Minutos Express 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

Live Rate Estimations — Feed two Zipcodes and retrieve instantly exactly how much it costs to call an Express or Next-Day fleet to move the goods natively.
Order Dispacthing — Write 'Call a courier delivering at XYZ' and witness the integration creating real pickup missions requesting a vehicle seamlessly.
Route Auditing — Scan active GPS hooks using get_tracking knowing where your package is residing effectively.
Zone Coverage Probe — Ensure you're mapping correctly across massive territories searching if specific bounds sit within 99Minutos active grid ranges.

The 99Minutos Express 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 99Minutos Express to CrewAI via MCP

Follow these steps to integrate the 99Minutos Express 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 99Minutos Express

Why Use CrewAI with the 99Minutos Express MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with 99Minutos Express 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

99Minutos Express + CrewAI Use Cases

Practical scenarios where CrewAI combined with the 99Minutos Express MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries 99Minutos Express 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 99Minutos Express, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain 99Minutos Express 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 99Minutos Express against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

99Minutos Express MCP Tools for CrewAI (12)

These 12 tools become available when you connect 99Minutos Express to CrewAI via MCP:

cancel_order

Void an active courier run

create_order

Request a courier express delivery

create_store

create_webhook

Inject an HTTP delivery ping receptor

get_order

Get express delivery details

get_rates

Check point-to-point same-day costs

get_tracking

Pull real-time vehicle geographical statuses

list_coverage

Check LatAm ZIP code active coverage

list_orders

List active express orders

list_return_orders

Watch reverse logistics flows

list_stores

List registered physical stores/nodes

list_webhooks

Scan infrastructure active webhooks

Example Prompts for 99Minutos Express in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with 99Minutos Express immediately.

"Find out exactly how much it costs right now a Same-Day deployment taking my package picking up from 14002 ending at 16003."

"Query the grid tracking node extracting recent geographic updates pushing for order NN-7729."

"List my physical stores"

Troubleshooting 99Minutos Express MCP Server with CrewAI

Common issues when connecting 99Minutos Express 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.

99Minutos Express + CrewAI FAQ

Common questions about integrating 99Minutos Express 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.