Inep Dados Abertos MCP Server for LangChainGive LangChain instant access to 12 tools to Get Group, Get Organization, Get Package, and more
GDPR Free for SubscribersLangChain is the leading Python framework for composable LLM applications. Connect Inep Dados Abertos 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
The Inep Dados Abertos MCP Server for LangChain 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 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({
"inep-dados-abertos": {
"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 Inep Dados Abertos, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with Inep Dados Abertos through native MCP adapters. Connect 12 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 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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Inep Dados Abertos into LangChain. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
Why Use LangChain with the Inep Dados Abertos MCP Server
LangChain provides unique advantages when paired with Inep Dados Abertos through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Inep Dados Abertos 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 Inep Dados Abertos queries for multi-turn workflows
Inep Dados Abertos + LangChain Use Cases
Practical scenarios where LangChain combined with the Inep Dados Abertos MCP Server delivers measurable value.
RAG with live data: combine Inep Dados Abertos tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Inep Dados Abertos, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Inep Dados Abertos tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Inep Dados Abertos tool call, measure latency, and optimize your agent's performance
Example Prompts for Inep Dados Abertos in LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting Inep Dados Abertos to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersInep Dados Abertos + LangChain FAQ
Common questions about integrating Inep Dados Abertos MCP Server with LangChain.
How does LangChain connect to MCP servers?
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?
Can I trace MCP tool calls in LangSmith?
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