OpenDataSUS MCP Server for LlamaIndexGive LlamaIndex instant access to 8 tools to Datastore Search, Group List, Organization List, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OpenDataSUS as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this MCP Server for LlamaIndex
The OpenDataSUS MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport 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 OpenDataSUS. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in OpenDataSUS?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine OpenDataSUS tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 — 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 LlamaIndex 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 LlamaIndex
When LlamaIndex 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 search on OpenDataSUS
Search and filter data within a resource
Group list on OpenDataSUS
List all groups (categories)
Organization list on OpenDataSUS
List all organizations (data providers)
Package list on OpenDataSUS
List all dataset names in the OpenDataSUS portal
Package search on OpenDataSUS
Search for datasets matching specific criteria
Package show on OpenDataSUS
Get full metadata of a specific dataset
Resource show on OpenDataSUS
Get metadata for a specific resource
Tag list on OpenDataSUS
List all tags used across datasets
Connect OpenDataSUS to LlamaIndex via MCP
Follow these steps to wire OpenDataSUS into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the OpenDataSUS MCP Server
LlamaIndex provides unique advantages when paired with OpenDataSUS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OpenDataSUS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OpenDataSUS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OpenDataSUS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OpenDataSUS tools were called, what data was returned, and how it influenced the final answer
OpenDataSUS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OpenDataSUS MCP Server delivers measurable value.
Hybrid search: combine OpenDataSUS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OpenDataSUS 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 OpenDataSUS for fresh data
Analytical workflows: chain OpenDataSUS queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for OpenDataSUS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting OpenDataSUS to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOpenDataSUS + LlamaIndex FAQ
Common questions about integrating OpenDataSUS MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
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