How to Use the Mato Grosso do Sul Open Data MCP in LlamaIndex

Index Mato Grosso do Sul Open Data into your LlamaIndex knowledge base for grounded, verifiable answers.

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Connect Mato Grosso do Sul Open Data MCP to LlamaIndex

Create your Vinkius account to connect Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data with LlamaIndex

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Build a knowledge base with LlamaIndex

Turn state records into searchable vectors. You invoke `get_resource` to grab the raw data and let LlamaIndex handle the indexing for future retrieval. This grounds your agent's answers in reality. Instead of relying on training data, it queries the actual government files indexed in your local store.

Query Mato Grosso do Sul Open Data in LlamaIndex

Automate the discovery process using `list_packages`. You point the agent at the portal, and it populates your RAG index with the latest state information. Every result is tied to the source. You verify the origin of the data by checking the metadata returned by `get_package` during the indexing phase.

Refined data extraction for LlamaIndex

Target specific datasets using `datastore_search` to avoid indexing irrelevant noise. You narrow down the scope so your vector store stays lean and accurate. This approach saves tokens and improves search performance. Your agent only works with the data that is actually relevant to the user's question.

Setup guide

Set up Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data 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 Mato Grosso do Sul Open Data tools.",
)
response = await agent.run("List recent Mato Grosso do Sul Open Data data")

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Common questions about Mato Grosso do Sul Open Data MCP in LlamaIndex

You wrap the MCP tools in a specification and pass them to the agent. LlamaIndex then treats the API as a searchable resource.

The data is sourced directly from the government portal. You index the raw response, ensuring your agent cites the original source.

The MCP server requires an endpoint token to connect. Your indexed data remains within your local environment, isolated from external access.

You can schedule re-indexing tasks. The API returns the current state of the records, allowing you to keep your vectors fresh.

The server provides access to structured datastores and metadata packages. It handles the interface between the portal and your index.

Use it with your favorite AI tools

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

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