OpenDataSUS MCP Server for LangChainGive LangChain instant access to 8 tools to Datastore Search, Group List, Organization List, and more

Name: OpenDataSUS
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LangChain is the leading Python framework for composable LLM applications. Connect OpenDataSUS through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Ask AI about this MCP Server for LangChain

Open in ChatGPT Open in Claude Open in Perplexity

The OpenDataSUS MCP Server for LangChain is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

python

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "opendatasus": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using OpenDataSUS, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 OpenDataSUS MCP Server

Connect to the OpenDataSUS portal to explore and analyze Brazilian public health information through natural language. This server interfaces with the CKAN-based API of the Ministry of Health.

LangChain's ecosystem of 500+ components combines seamlessly with OpenDataSUS through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

Dataset Discovery — List all available datasets, search for specific health topics (like COVID-19 or vaccination), and browse by tags or categories.
Metadata Inspection — Retrieve detailed metadata for packages and individual resources to understand data provenance and structure.
Deep Data Querying — Use the DataStore search to filter and retrieve actual rows from CSV and Excel resources directly into your conversation.
Organizational Browsing — List data providers and organizations to find specific departmental records.

The OpenDataSUS MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 OpenDataSUS tools available for LangChain

When LangChain connects to OpenDataSUS through Vinkius, your AI agent gets direct access to every tool listed below — spanning public-health, brazil-health, dataset-discovery, 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 OpenDataSUS

Search and filter data within a resource

group

Group list on OpenDataSUS

List all groups (categories)

organization

Organization list on OpenDataSUS

List all organizations (data providers)

package

Package list on OpenDataSUS

List all dataset names in the OpenDataSUS portal

package

Package search on OpenDataSUS

Search for datasets matching specific criteria

package

Package show on OpenDataSUS

Get full metadata of a specific dataset

resource

Resource show on OpenDataSUS

Get metadata for a specific resource

tag

Tag list on OpenDataSUS

List all tags used across datasets

Connect OpenDataSUS to LangChain via MCP

Follow these steps to wire OpenDataSUS into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from OpenDataSUS via MCP

Why Use LangChain with the OpenDataSUS MCP Server

LangChain provides unique advantages when paired with OpenDataSUS through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine OpenDataSUS MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across OpenDataSUS queries for multi-turn workflows

OpenDataSUS + LangChain Use Cases

Practical scenarios where LangChain combined with the OpenDataSUS MCP Server delivers measurable value.

RAG with live data: combine OpenDataSUS tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query OpenDataSUS, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain OpenDataSUS tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every OpenDataSUS tool call, measure latency, and optimize your agent's performance

Example Prompts for OpenDataSUS in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with OpenDataSUS immediately.

"Search for datasets related to 'vacinacao covid' in OpenDataSUS."

"List all health organizations providing data on the portal."

"Query the first 5 rows of the resource with ID 'd3848184-5077-4667-835d-591d67641bb9'."

Troubleshooting OpenDataSUS MCP Server with LangChain

Common issues when connecting OpenDataSUS to LangChain through Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

OpenDataSUS + LangChain FAQ

Common questions about integrating OpenDataSUS MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.