OECD Data API MCP Server for LlamaIndex 3 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add OECD Data API as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import 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 OECD Data API. "
"You have 3 tools available."
),
)
response = await agent.run(
"What tools are available in OECD Data API?"
)
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 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.
LlamaIndex agents combine OECD Data API tool responses with indexed documents for comprehensive, grounded answers. Connect 3 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 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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the OECD Data API MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 3 tools from OECD Data API
Why Use LlamaIndex with the OECD Data API MCP Server
LlamaIndex provides unique advantages when paired with OECD Data API through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine OECD Data API tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain OECD Data API tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query OECD Data API, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what OECD Data API tools were called, what data was returned, and how it influenced the final answer
OECD Data API + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the OECD Data API MCP Server delivers measurable value.
Hybrid search: combine OECD Data API real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query OECD Data API 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 OECD Data API for fresh data
Analytical workflows: chain OECD Data API queries with LlamaIndex's data connectors to build multi-source analytical reports
OECD Data API MCP Tools for LlamaIndex (3)
These 3 tools become available when you connect OECD Data API to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting OECD Data API to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOECD Data API + LlamaIndex FAQ
Common questions about integrating OECD Data API 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?
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 LlamaIndex
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.