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

Chain Mato Grosso do Sul Open Data queries directly into your LangChain pipelines for automated public record analysis.

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Connect Mato Grosso do Sul Open Data MCP to LangChain

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Chain public records in LangChain

Feed government data directly into your chains. You use `list_packages` to identify relevant state datasets and pipe the results into downstream agents for processing. Your agent decides when to run `datastore_search` based on the previous step's output. It turns raw API responses into actionable insights without manual intervention.

SQL-driven analysis for LangChain

Execute complex queries against state databases using `datastore_search_sql`. You write the logic, and the agent handles the execution and refinement of the data set. This bypasses the need for manual downloads. You get clean, specific subsets of information ready for your model to interpret immediately.

Map Mato Grosso do Sul entities

Use `list_organizations` and `list_groups` to define the scope of your data collection. You build a clear map of which government departments hold the records you need. Once the structure is clear, you use `get_package` to pull the precise metadata. It keeps your pipeline focused on the correct data sources from the start.

Setup guide

Set up Mato Grosso do Sul Open Data MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Mato Grosso do Sul Open Data tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "mato-grosso-do-sul-open-data-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Mato Grosso do Sul Open Data transactions"
    })
    print(result["messages"][-1].content)

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

You initialize the server via the MCP adapter and pass the tools to your agent. The agent then selects the right tool based on your prompt.

Yes, but you should use SQL queries to filter the data first. Pulling the entire set usually hits the API limits or context window.

The server uses token-based authentication for every request. Your agent only sees the data returned by the specific tool you authorize.

The server returns a structured error code. You can catch these in your LangSmith traces and build retry logic accordingly.

Yes, the server communicates with the state portal in real-time. You need a stable connection to fetch current records.

Use it with your favorite AI tools

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

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