Comunidad de Madrid (Portal Regional) MCP Server for LlamaIndexGive LlamaIndex instant access to 5 tools to Get Dataset, Get Resource, List Datasets, and more

Name: Comunidad de Madrid (Portal Regional)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) MCP Server for LlamaIndex is a standout in the Knowledge Management category — giving your AI agent 5 tools to work with, ready to go from day one.

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+ other MCP clients

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 Comunidad de Madrid (Portal Regional). "
            "You have 5 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Comunidad de Madrid (Portal Regional)?"
    )
    print(response)

asyncio.run(main())

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About Comunidad de Madrid (Portal Regional) MCP Server

Connect your AI agent to the Comunidad de Madrid Open Data Portal to access a wealth of public information directly through natural language. This MCP server provides a bridge to the regional CKAN-based repository, covering everything from transport and health to environment and economy.

LlamaIndex agents combine Comunidad de Madrid (Portal Regional) tool responses with indexed documents for comprehensive, grounded answers. Connect 5 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

Dataset Discovery — Search for specific datasets using keywords like 'transporte', 'salud', or 'medio ambiente' to find relevant public records.
Metadata Inspection — Retrieve full metadata for datasets, including tags, organizations, and update frequencies.
Resource Management — List and inspect individual files (resources) within a dataset, such as CSVs, JSONs, or PDFs.
Direct Data Querying — Use the DataStore integration to query the actual content of datasets directly, allowing for data analysis without manual downloads.
Portal Exploration — List all available dataset identifiers to understand the scope of available regional data.

The Comunidad de Madrid (Portal Regional) MCP Server exposes 5 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 5 Comunidad de Madrid (Portal Regional) tools available for LlamaIndex

When LlamaIndex connects to Comunidad de Madrid (Portal Regional) through Vinkius, your AI agent gets direct access to every tool listed below — spanning madrid, open-data, ckan, 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 dataset on Comunidad de Madrid (Portal Regional)

Get full metadata for a specific dataset

get

Get resource on Comunidad de Madrid (Portal Regional)

Get metadata for a specific resource

list

List datasets on Comunidad de Madrid (Portal Regional)

List all dataset identifiers in the portal

Search datasets on Comunidad de Madrid (Portal Regional)

g., transporte, salud). Search for datasets matching specific criteria

Search datastore on Comunidad de Madrid (Portal Regional)

Query data directly from a resource in the DataStore

Connect Comunidad de Madrid (Portal Regional) to LlamaIndex via MCP

Follow these steps to wire Comunidad de Madrid (Portal Regional) 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 5 tools from Comunidad de Madrid (Portal Regional)

Why Use LlamaIndex with the Comunidad de Madrid (Portal Regional) MCP Server

LlamaIndex provides unique advantages when paired with Comunidad de Madrid (Portal Regional) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Comunidad de Madrid (Portal Regional) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Comunidad de Madrid (Portal Regional) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Comunidad de Madrid (Portal Regional), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Comunidad de Madrid (Portal Regional) tools were called, what data was returned, and how it influenced the final answer

Comunidad de Madrid (Portal Regional) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Comunidad de Madrid (Portal Regional) MCP Server delivers measurable value.

Hybrid search: combine Comunidad de Madrid (Portal Regional) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) for fresh data

Analytical workflows: chain Comunidad de Madrid (Portal Regional) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Comunidad de Madrid (Portal Regional) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Comunidad de Madrid (Portal Regional) immediately.

"Search for datasets related to air quality in Madrid."

"List all dataset identifiers available in the portal."

"Get the metadata for the dataset 'calidad_aire_datos_dia'."

Troubleshooting Comunidad de Madrid (Portal Regional) MCP Server with LlamaIndex

Common issues when connecting Comunidad de Madrid (Portal Regional) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Comunidad de Madrid (Portal Regional) + LlamaIndex FAQ

Common questions about integrating Comunidad de Madrid (Portal Regional) 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 Comunidad de Madrid (Portal Regional) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.