OECD Data API MCP Server for LangChain 3 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect OECD Data API through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
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Vinkius supports streamable HTTP and SSE.
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({
"oecd-data-api": {
"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 OECD Data API, 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 OECD Data API MCP Server
Empower your AI agent to orchestrate your entire macroeconomic research and policy auditing workflow with the OECD Data API, the authoritative source for global social and economic indicators. By connecting the OECD SDMX-JSON service to your agent, you transform complex statistical searches into a natural conversation. Your agent can instantly retrieve historical datasets, audit regional economic trends, and query specific dataflows without you ever touching a data portal. Whether you are conducting international market research or managing regional policy constraints, your agent acts as a real-time data analyst, ensuring your intelligence is always verified and precise.
LangChain's ecosystem of 500+ components combines seamlessly with OECD Data API through native MCP adapters. Connect 3 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 Auditing — Retrieve high-resolution statistical data for thousands of OECD identifiers and maintain a clear view of global economic changes.
- Indicator Oversight — Audit historical social and fiscal indicators to understand the longitudinal distribution of economic scale instantly.
- Dataflow Discovery — Browse all available dataflows in the OECD catalog to identify relevant thematic markers for your research.
- Macro Intelligence — Retrieve unique dataset identifiers and observation metadata to assist in deep-dive archival classification.
- Operational Monitoring — Check API status to ensure your economic research workflow is always operational.
The OECD Data API MCP Server exposes 3 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect OECD Data API to LangChain via MCP
Follow these steps to integrate the OECD Data API MCP Server with LangChain.
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 3 tools from OECD Data API via MCP
Why Use LangChain with the OECD Data API MCP Server
LangChain provides unique advantages when paired with OECD Data API through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine OECD Data API 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 OECD Data API queries for multi-turn workflows
OECD Data API + LangChain Use Cases
Practical scenarios where LangChain combined with the OECD Data API MCP Server delivers measurable value.
RAG with live data: combine OECD Data API tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query OECD Data API, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain OECD Data API tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every OECD Data API tool call, measure latency, and optimize your agent's performance
OECD Data API MCP Tools for LangChain (3)
These 3 tools become available when you connect OECD Data API to LangChain via MCP:
check_api_status
Check if the OECD Data service is operational
get_oecd_dataset
Get specific economic or social data from an OECD dataset ID
list_oecd_dataflows
List all available dataflows and datasets in the OECD catalog
Example Prompts for OECD Data API in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with OECD Data API immediately.
"Get quarterly national accounts (QNA) data from OECD."
"List all available dataflows in the OECD catalog."
"What are the latest observations for the 'CPI' dataset in the OECD?"
Troubleshooting OECD Data API MCP Server with LangChain
Common issues when connecting OECD Data API to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersOECD Data API + LangChain FAQ
Common questions about integrating OECD Data API 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?
Connect OECD Data API with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect OECD Data API to LangChain
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.