Comunidad de Madrid (Portal Regional) MCP Server for LangChainGive LangChain 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

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect Comunidad de Madrid (Portal Regional) through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The Comunidad de Madrid (Portal Regional) MCP Server for LangChain is a standout in the Knowledge Management category — giving your AI agent 5 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "comunidad-de-madrid-portal-regional": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Comunidad de Madrid (Portal Regional), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

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 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.

LangChain's ecosystem of 500+ components combines seamlessly with Comunidad de Madrid (Portal Regional) through native MCP adapters. Connect 5 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain

When LangChain 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 LangChain via MCP

Follow these steps to wire Comunidad de Madrid (Portal Regional) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 5 tools from Comunidad de Madrid (Portal Regional) via MCP

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

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

The largest ecosystem of integrations, chains, and agents. combine Comunidad de Madrid (Portal Regional) MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Comunidad de Madrid (Portal Regional) queries for multi-turn workflows

Comunidad de Madrid (Portal Regional) + LangChain Use Cases

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

RAG with live data: combine Comunidad de Madrid (Portal Regional) tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Comunidad de Madrid (Portal Regional), synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Comunidad de Madrid (Portal Regional) tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Comunidad de Madrid (Portal Regional) tool call, measure latency, and optimize your agent's performance

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

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

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Comunidad de Madrid (Portal Regional) + LangChain FAQ

Common questions about integrating Comunidad de Madrid (Portal Regional) MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.