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 LlamaIndex 12 tools — connect in under 2 minutes

Name: 99Minutos Express
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add 99Minutos Express as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to 99Minutos Express. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in 99Minutos Express?"
    )
    print(response)

asyncio.run(main())

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* 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.

LlamaIndex agents combine 99Minutos Express tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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 LlamaIndex 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 LlamaIndex via MCP

Follow these steps to integrate the 99Minutos Express MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from 99Minutos Express

Why Use LlamaIndex with the 99Minutos Express MCP Server

LlamaIndex provides unique advantages when paired with 99Minutos Express through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine 99Minutos Express tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain 99Minutos Express tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query 99Minutos Express, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what 99Minutos Express tools were called, what data was returned, and how it influenced the final answer

99Minutos Express + LlamaIndex Use Cases

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

Hybrid search: combine 99Minutos Express real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query 99Minutos Express to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying 99Minutos Express for fresh data

Analytical workflows: chain 99Minutos Express queries with LlamaIndex's data connectors to build multi-source analytical reports

99Minutos Express MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect 99Minutos Express to LlamaIndex 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 LlamaIndex

Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex

Common issues when connecting 99Minutos Express to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

99Minutos Express + LlamaIndex FAQ

Common questions about integrating 99Minutos Express MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query 99Minutos Express tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.