How to Use the Ayuntamiento de Barcelona (CKAN) MCP in LangChain

Chain together urban dataset queries in LangChain for complex reasoning pipelines.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Ayuntamiento de Barcelona (CKAN) MCP to LangChain

Create your Vinkius account to connect Ayuntamiento de Barcelona (CKAN) to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Ayuntamiento de Barcelona (CKAN) with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sequence city data lookups

Use `bcn_package_list` to pull available dataset names, then chain those results directly into `bcn_package_show` for metadata extraction. LangChain agents handle these sequential dependencies without manual intervention. Your agents maintain context across every step. You don't need to babysit the process because the output of one tool feeds the next link in your chain.

Execute complex SQL on BCN records

Send custom SQL queries to `bcn_datastore_search_sql` to filter through massive municipal tables. LangSmith keeps a log of every query, so you can debug why a specific filter returned unexpected rows. This MCP Server provides the raw data access your agents crave. You get precise control over the logic, ensuring your LangChain pipelines only process relevant city statistics.

Automate multi-step data gathering

Combine `bcn_current_packages` with other vector store tools in a single run. The agent decides which dataset to hit first based on the current prompt requirements. Your application logic stays clean when you treat this MCP Server as a standard tool provider. It plugs right into your existing graph structures for reliable data orchestration.

Setup guide

Set up Ayuntamiento de Barcelona (CKAN) MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Ayuntamiento de Barcelona (CKAN) tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

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

async with MultiServerMCPClient({
    "ayuntamiento-de-barcelona-ckan-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Ayuntamiento de Barcelona (CKAN) transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Open Data BCN. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Ayuntamiento de Barcelona (CKAN) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Ayuntamiento de Barcelona (CKAN) MCP in LangChain

Install the necessary adapters and initialize a MultiServerMCPClient pointing to the Vinkius URL. Once connected, fetch the tools and pass them into your agent definition.

Absolutely. You can define a chain where one step queries the city portal and the next step pushes that data into a database or external API.

Yes, every tool execution shows up in your LangSmith traces. You can monitor latency and inspect input parameters for every tool call.

The server is stateless by default. Use a session object if you need to keep context alive between multiple agent turns.

This server only reads public open data records. Your API interactions are protected by Vinkius's zero-trust gateway and ephemeral session tokens.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.