EMT Madrid (Open Data) MCP Server for LlamaIndexGive LlamaIndex instant access to 4 tools to Get Bus Arrivals, List Bicimad Stations, Login, and more

Name: EMT Madrid (Open Data)
Price: 29 USD
Availability: InStock
Rating: 0.2 (1 reviews)
Author: Vinkius

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

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The EMT Madrid (Open Data) MCP Server for LlamaIndex is a standout in the Government Public Data category — giving your AI agent 4 tools to work with, ready to go from day one.

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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 EMT Madrid (Open Data). "
            "You have 4 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in EMT Madrid (Open Data)?"
    )
    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 EMT Madrid (Open Data) MCP Server

Connect to the EMT Madrid Open Data platform to bring Madrid's mobility network into your AI agent. This server provides direct access to official transport data for the city of Madrid.

LlamaIndex agents combine EMT Madrid (Open Data) tool responses with indexed documents for comprehensive, grounded answers. Connect 4 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

Real-time Bus Arrivals — Use get_bus_arrivals to see exactly when the next bus is reaching a specific stop using its unique ID.
BiciMAD Integration — Use list_bicimad_stations to check bike availability and empty docks across the city's electric bike-sharing system.
Route Planning — Use plan_bus_route to find the best way to navigate the city using the EMT bus network from any starting stop.
Official Data — Access the same data used by official apps to ensure accuracy in your mobility workflows.

The EMT Madrid (Open Data) MCP Server exposes 4 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 EMT Madrid (Open Data) tools available for LlamaIndex

When LlamaIndex connects to EMT Madrid (Open Data) through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-transport, real-time-data, bus-arrivals, 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.

get

Get bus arrivals on EMT Madrid (Open Data)

Get real-time bus arrival times for a stop

list

List bicimad stations on EMT Madrid (Open Data)

Get status of all BiciMAD stations

action

Login on EMT Madrid (Open Data)

plan

Plan bus route on EMT Madrid (Open Data)

Calculate routes between points using the EMT network

Connect EMT Madrid (Open Data) to LlamaIndex via MCP

Follow these steps to wire EMT Madrid (Open Data) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 4 tools from EMT Madrid (Open Data)

Why Use LlamaIndex with the EMT Madrid (Open Data) MCP Server

LlamaIndex provides unique advantages when paired with EMT Madrid (Open Data) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine EMT Madrid (Open Data) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain EMT Madrid (Open Data) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query EMT Madrid (Open Data), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what EMT Madrid (Open Data) tools were called, what data was returned, and how it influenced the final answer

EMT Madrid (Open Data) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the EMT Madrid (Open Data) MCP Server delivers measurable value.

Hybrid search: combine EMT Madrid (Open Data) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query EMT Madrid (Open Data) 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 EMT Madrid (Open Data) for fresh data

Analytical workflows: chain EMT Madrid (Open Data) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for EMT Madrid (Open Data) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with EMT Madrid (Open Data) immediately.

"What are the bus arrival times for stop ID 72?"

"List all BiciMAD stations and their current bike availability."

"Plan a bus route starting from stop 1022."

Troubleshooting EMT Madrid (Open Data) MCP Server with LlamaIndex

Common issues when connecting EMT Madrid (Open Data) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

EMT Madrid (Open Data) + LlamaIndex FAQ

Common questions about integrating EMT Madrid (Open Data) 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 EMT Madrid (Open Data) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.