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Ayuntamiento de Barcelona (CKAN) MCP Server for LangChainGive LangChain instant access to 7 tools to Bcn Current Packages, Bcn Datastore Search, Bcn Datastore Search Sql, and more

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LangChain is the leading Python framework for composable LLM applications. Connect Ayuntamiento de Barcelona (CKAN) 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

The Ayuntamiento de Barcelona (CKAN) MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 7 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

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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({
        "ayuntamiento-de-barcelona-ckan": {
            "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 Ayuntamiento de Barcelona (CKAN), show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Ayuntamiento de Barcelona (CKAN)
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 Ayuntamiento de Barcelona (CKAN) MCP Server

Connect to the Ayuntamiento de Barcelona (Open Data BCN) portal and transform public data into actionable insights through natural conversation. This MCP server leverages the CKAN API to provide real-time access to Barcelona's official data repository.

LangChain's ecosystem of 500+ components combines seamlessly with Ayuntamiento de Barcelona (CKAN) through native MCP adapters. Connect 7 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 — List all available datasets or search for specific topics like transportation, environment, or demographics using bcn_package_search.
  • Metadata Inspection — Retrieve detailed metadata for specific datasets and resources to understand data structures and update frequencies.
  • Deep Data Querying — Use bcn_datastore_search to filter records within CSV resources or execute complex bcn_datastore_search_sql queries for precise data extraction.
  • Resource Management — List all resources associated with a dataset, including download links and format specifications.

The Ayuntamiento de Barcelona (CKAN) MCP Server exposes 7 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 7 Ayuntamiento de Barcelona (CKAN) tools available for LangChain

When LangChain connects to Ayuntamiento de Barcelona (CKAN) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, urban-planning, public-statistics, 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.

bcn

Bcn current packages on Ayuntamiento de Barcelona (CKAN)

List datasets including their resources

bcn

Bcn datastore search on Ayuntamiento de Barcelona (CKAN)

Search and filter records within a specific CSV resource

bcn

Bcn datastore search sql on Ayuntamiento de Barcelona (CKAN)

The table name must be the resource_id wrapped in double quotes. Execute SQL queries directly against a resource

bcn

Bcn package list on Ayuntamiento de Barcelona (CKAN)

List all dataset names in the Open Data BCN catalogue

bcn

Bcn package search on Ayuntamiento de Barcelona (CKAN)

Search for datasets matching specific criteria

bcn

Bcn package show on Ayuntamiento de Barcelona (CKAN)

Get metadata for a specific dataset

bcn

Bcn resource show on Ayuntamiento de Barcelona (CKAN)

Get metadata for a specific resource

Connect Ayuntamiento de Barcelona (CKAN) to LangChain via MCP

Follow these steps to wire Ayuntamiento de Barcelona (CKAN) into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save the code and run python agent.py
04

Explore tools

The agent discovers 7 tools from Ayuntamiento de Barcelona (CKAN) via MCP

Why Use LangChain with the Ayuntamiento de Barcelona (CKAN) MCP Server

LangChain provides unique advantages when paired with Ayuntamiento de Barcelona (CKAN) through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Ayuntamiento de Barcelona (CKAN) MCP tools with 500+ LangChain components

02

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

03

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

04

Memory and conversation persistence let agents maintain context across Ayuntamiento de Barcelona (CKAN) queries for multi-turn workflows

Ayuntamiento de Barcelona (CKAN) + LangChain Use Cases

Practical scenarios where LangChain combined with the Ayuntamiento de Barcelona (CKAN) MCP Server delivers measurable value.

01

RAG with live data: combine Ayuntamiento de Barcelona (CKAN) tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Ayuntamiento de Barcelona (CKAN), synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Ayuntamiento de Barcelona (CKAN) tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Ayuntamiento de Barcelona (CKAN) tool call, measure latency, and optimize your agent's performance

Example Prompts for Ayuntamiento de Barcelona (CKAN) in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Ayuntamiento de Barcelona (CKAN) immediately.

01

"List the first 10 datasets available in the Barcelona Open Data catalogue."

02

"Search for datasets about 'wifi' in Barcelona and show their descriptions."

03

"Run a SQL query to get the count of records in resource '2023-accidents-gu-bcn'."

Troubleshooting Ayuntamiento de Barcelona (CKAN) MCP Server with LangChain

Common issues when connecting Ayuntamiento de Barcelona (CKAN) to LangChain through Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Ayuntamiento de Barcelona (CKAN) + LangChain FAQ

Common questions about integrating Ayuntamiento de Barcelona (CKAN) MCP Server with LangChain.

01

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.
02

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.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

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