São Paulo (Cidade) MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Datastore Search, Datastore Search Sql, Get Group, and more

Name: São Paulo (Cidade)
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

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

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The São Paulo (Cidade) MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 11 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 São Paulo (Cidade). "
            "You have 11 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in São Paulo (Cidade)?"
    )
    print(response)

asyncio.run(main())

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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 São Paulo (Cidade) MCP Server

Connect your AI agent directly to the São Paulo City Open Data Portal (CKAN). This server allows you to navigate thousands of public datasets covering health, education, transport, and finance in Brazil's largest city.

LlamaIndex agents combine São Paulo (Cidade) tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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 — Search for specific datasets using keywords or list all available packages in the portal.
Granular Inspection — Fetch detailed metadata for datasets and individual resources (files) to understand data structures.
Advanced Data Querying — Perform searches within data stores or execute complex SQL queries directly on CSV-backed resources.
Organizational Mapping — List and inspect city secretariats (organizations) and thematic groups to find relevant data sources.
Tag Exploration — Browse datasets by tags to discover related public information across different departments.

The São Paulo (Cidade) MCP Server exposes 11 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 11 São Paulo (Cidade) tools available for LlamaIndex

When LlamaIndex connects to São Paulo (Cidade) through Vinkius, your AI agent gets direct access to every tool listed below — spanning open-data, urban-data, public-administration, 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.

datastore

Datastore search on São Paulo (Cidade)

Search data within a resource

datastore

Datastore search sql on São Paulo (Cidade)

SQL Query on a resource

get

Get group on São Paulo (Cidade)

Get group details

get

Get organization on São Paulo (Cidade)

Get organization details

get

Get package on São Paulo (Cidade)

Get dataset details

get

Get resource on São Paulo (Cidade)

Get resource details

list

List groups on São Paulo (Cidade)

g., Educação, Meio Ambiente). List groups (themes)

list

List organizations on São Paulo (Cidade)

g., Secretarias) that own datasets. List organizations

list

List packages on São Paulo (Cidade)

List all datasets (packages) in the portal

list

List tags on São Paulo (Cidade)

List tags

Search packages on São Paulo (Cidade)

Search datasets

Connect São Paulo (Cidade) to LlamaIndex via MCP

Follow these steps to wire São Paulo (Cidade) into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

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

Explore tools

The agent discovers 11 tools from São Paulo (Cidade)

Why Use LlamaIndex with the São Paulo (Cidade) MCP Server

LlamaIndex provides unique advantages when paired with São Paulo (Cidade) through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine São Paulo (Cidade) tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain São Paulo (Cidade) tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query São Paulo (Cidade), a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what São Paulo (Cidade) tools were called, what data was returned, and how it influenced the final answer

São Paulo (Cidade) + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the São Paulo (Cidade) MCP Server delivers measurable value.

Hybrid search: combine São Paulo (Cidade) real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query São Paulo (Cidade) to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying São Paulo (Cidade) for fresh data

Analytical workflows: chain São Paulo (Cidade) queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for São Paulo (Cidade) in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with São Paulo (Cidade) immediately.

"Search for datasets about public transport in São Paulo."

"List all organizations that provide open data in the portal."

"Get the details for the dataset 'folha-de-pagamento'."

Troubleshooting São Paulo (Cidade) MCP Server with LlamaIndex

Common issues when connecting São Paulo (Cidade) to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

São Paulo (Cidade) + LlamaIndex FAQ

Common questions about integrating São Paulo (Cidade) MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query São Paulo (Cidade) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.