Campinas Open Data MCP Server for LangChainGive LangChain instant access to 8 tools to Get Package, Get Resource, List Groups, and more
LangChain is the leading Python framework for composable LLM applications. Connect Campinas Open Data 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 Campinas Open Data 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.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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({
"campinas-open-data": {
"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 Campinas Open Data, 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 Campinas Open Data MCP Server
Connect to the Campinas Open Data Portal (CKAN) and explore a wealth of public information from one of Brazil's major cities through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Campinas Open Data 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 — Search for specific packages related to health, education, finance, or transport using keywords.
- Metadata Inspection — Retrieve full metadata for datasets and individual resources (files) to understand data structures.
- Organizational Mapping — List all city departments and organizations that provide public data.
- Thematic Exploration — Browse data by groups (e.g., 'Saúde', 'Educação') or tags to find relevant information quickly.
- Resource Access — Get direct links and metadata for CSVs, PDFs, and APIs hosted on the portal.
The Campinas Open Data 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 Campinas Open Data tools available for LangChain
When LangChain connects to Campinas Open Data through Vinkius, your AI agent gets direct access to every tool listed below — spanning campinas, open-data, ckan, 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 package on Campinas Open Data
Get full metadata for a specific dataset
Get resource on Campinas Open Data
Get metadata for a specific resource
List groups on Campinas Open Data
g., Education, Health). List thematic groups
List organizations on Campinas Open Data
List organizations providing data
List packages on Campinas Open Data
List all dataset names
List tags on Campinas Open Data
List all tags used across the portal
Search packages on Campinas Open Data
Search for datasets matching specific criteria
Search resources on Campinas Open Data
g., name:financeiro). Search for resources based on fields
Connect Campinas Open Data to LangChain via MCP
Follow these steps to wire Campinas Open Data 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 Campinas Open Data MCP Server
LangChain provides unique advantages when paired with Campinas Open Data through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Campinas Open Data 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 Campinas Open Data queries for multi-turn workflows
Campinas Open Data + LangChain Use Cases
Practical scenarios where LangChain combined with the Campinas Open Data MCP Server delivers measurable value.
RAG with live data: combine Campinas Open Data tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Campinas Open Data, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Campinas Open Data tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Campinas Open Data tool call, measure latency, and optimize your agent's performance
Example Prompts for Campinas Open Data in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Campinas Open Data immediately.
"Search for datasets about 'educação' in Campinas."
"List all organizations that provide data to the portal."
"Get full metadata for the dataset 'vagas-em-creches'."
Troubleshooting Campinas Open Data MCP Server with LangChain
Common issues when connecting Campinas Open Data to LangChain through Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersCampinas Open Data + LangChain FAQ
Common questions about integrating Campinas Open Data 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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