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

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

Ask AI about this MCP Server for LlamaIndex

The Ayuntamiento de Barcelona (CKAN) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 7 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 Ayuntamiento de Barcelona (CKAN). "
            "You have 7 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Ayuntamiento de Barcelona (CKAN)?"
    )
    print(response)

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

LlamaIndex agents combine Ayuntamiento de Barcelona (CKAN) tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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 — 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 LlamaIndex 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 LlamaIndex

When LlamaIndex 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 LlamaIndex via MCP

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

01

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

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

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

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

01

Data-first architecture: LlamaIndex agents combine Ayuntamiento de Barcelona (CKAN) tool responses with indexed documents for comprehensive, grounded answers

02

Query pipeline framework lets you chain Ayuntamiento de Barcelona (CKAN) tool calls with transformations, filters, and re-rankers in a typed pipeline

03

Multi-source reasoning: agents can query Ayuntamiento de Barcelona (CKAN), a vector store, and a SQL database in a single turn and synthesize results

04

Observability integrations show exactly what Ayuntamiento de Barcelona (CKAN) tools were called, what data was returned, and how it influenced the final answer

Ayuntamiento de Barcelona (CKAN) + LlamaIndex Use Cases

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

01

Hybrid search: combine Ayuntamiento de Barcelona (CKAN) real-time data with embedded document indexes for answers that are both current and comprehensive

02

Data enrichment: query Ayuntamiento de Barcelona (CKAN) to augment indexed data with live information before generating user-facing responses

03

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Ayuntamiento de Barcelona (CKAN) for fresh data

04

Analytical workflows: chain Ayuntamiento de Barcelona (CKAN) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Ayuntamiento de Barcelona (CKAN) in LlamaIndex

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

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

01

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Ayuntamiento de Barcelona (CKAN) + LlamaIndex FAQ

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

01

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.
02

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Ayuntamiento de Barcelona (CKAN) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
03

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

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