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

Q: Can I filter which Ayuntamiento de Barcelona (CKAN) tools are available to LlamaIndex?

Yes, you can use the allowedtools filter during setup. This limits what your agent can access, keeping your application scope tight.

Q: Does this support resource metadata access?

By setting includeresources to true, you get full access to the resource structure. This helps your agent understand the schema of city datasets.

Build searchable RAG knowledge bases using Ayuntamiento de Barcelona (CKAN) for LlamaIndex.

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Connect Ayuntamiento de Barcelona (CKAN) MCP to LlamaIndex

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

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Setup Ayuntamiento de Barcelona (CKAN) with LlamaIndex

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Index urban data for semantic search

Call `bcn_package_search` to find relevant city datasets, then pipe the metadata into your LlamaIndex vector store. This turns flat CSV records into a searchable knowledge base for your agents. Your AI client stops hallucinating because it answers questions based on live municipal records. Every query result gets indexed, making past data points instantly retrievable.

Query BCN resources with RAG

Use `bcn_resource_show` to fetch specific resource metadata. LlamaIndex then parses these details, allowing your agent to reason over the structure of city files before querying them. This approach bridges the gap between static API endpoints and dynamic knowledge retrieval. You get a unified index that understands both documents and live city data.

Filter records via MCP tools

Apply `bcn_datastore_search` to pinpoint exact entries within a dataset. You can include these results in your context window to ground your agent's current response. This integration allows you to build custom agents that know exactly where to look for environmental or urban records. It removes the guesswork from retrieving specific municipal stats.

Setup guide

Set up Ayuntamiento de Barcelona (CKAN) MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Ayuntamiento de Barcelona (CKAN) MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Ayuntamiento de Barcelona (CKAN) tools.",
)
response = await agent.run("List recent Ayuntamiento de Barcelona (CKAN) data")

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

You use the MCP tool spec to pull data, which then gets converted into document objects for your vector index. It turns API output into searchable context.

The server fetches live data whenever your agent calls a tool. You can trigger a re-index whenever you need the most current municipal figures.

Yes, you can use the allowed_tools filter during setup. This limits what your agent can access, keeping your application scope tight.

By setting include_resources to true, you get full access to the resource structure. This helps your agent understand the schema of city datasets.

Your queries stay within the Vinkius sandbox environment. The server only touches public urban records, with all traffic encrypted and managed through secure endpoint tokens.

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