Inep Dados Abertos MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Get Group, Get Organization, Get Package, and more
GDPR Free for SubscribersLlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Inep Dados Abertos 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 Inep Dados Abertos MCP Server for LlamaIndex is a standout in the Data Analytics category — giving your AI agent 12 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 Inep Dados Abertos. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Inep Dados Abertos?"
)
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 Inep Dados Abertos MCP Server
Connect to the Inep Open Data Portal (Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira) and explore the most comprehensive educational datasets in Brazil through natural language.
LlamaIndex agents combine Inep Dados Abertos tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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 and search through hundreds of educational packages including ENEM, IDEB, and Censo Escolar.
- Deep Data Querying — Use SQL-like queries to filter and extract specific rows from massive datasets without downloading huge files.
- Resource Inspection — Access metadata, download links, and structural information for CSVs, PDFs, and microdata.
- Organizational Mapping — Explore data grouped by specific departments and thematic groups within the Brazilian Ministry of Education.
- Granular Search — Find specific resources or tags to pinpoint the exact statistical series needed for research or reporting.
The Inep Dados Abertos MCP Server exposes 12 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 12 Inep Dados Abertos tools available for LlamaIndex
When LlamaIndex connects to Inep Dados Abertos through Vinkius, your AI agent gets direct access to every tool listed below — spanning education-data, brazil, academic-research, 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.
Get group on Inep Dados Abertos
Get group details
Get organization on Inep Dados Abertos
Get organization details
Get package on Inep Dados Abertos
Get dataset details
Get resource on Inep Dados Abertos
Get resource details
List groups on Inep Dados Abertos
List groups
List organizations on Inep Dados Abertos
g., different departments within Inep). List organizations
List packages on Inep Dados Abertos
List all dataset (package) names
List tags on Inep Dados Abertos
List tags
Search datastore on Inep Dados Abertos
Search data within a resource (DataStore)
Search datastore sql on Inep Dados Abertos
Query data using SQL (DataStore)
Search packages on Inep Dados Abertos
Search datasets
Search resources on Inep Dados Abertos
Search resources
Connect Inep Dados Abertos to LlamaIndex via MCP
Follow these steps to wire Inep Dados Abertos 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 Inep Dados Abertos MCP Server
LlamaIndex provides unique advantages when paired with Inep Dados Abertos through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Inep Dados Abertos tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Inep Dados Abertos tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Inep Dados Abertos, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Inep Dados Abertos tools were called, what data was returned, and how it influenced the final answer
Inep Dados Abertos + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Inep Dados Abertos MCP Server delivers measurable value.
Hybrid search: combine Inep Dados Abertos real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Inep Dados Abertos 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 Inep Dados Abertos for fresh data
Analytical workflows: chain Inep Dados Abertos queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Inep Dados Abertos in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Inep Dados Abertos immediately.
"Search for all available datasets related to 'Censo Escolar'."
"List the resources and download URLs for the 'ENEM 2022' package."
"Run a SQL query to get the first 10 records from resource 'd9e8f7a6-...' where the state is 'SP'."
Troubleshooting Inep Dados Abertos MCP Server with LlamaIndex
Common issues when connecting Inep Dados Abertos to LlamaIndex through Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpInep Dados Abertos + LlamaIndex FAQ
Common questions about integrating Inep Dados Abertos 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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