Is an API Key required for OECD Data API?

No. The OECD REST API is a free and open service. This server works out of the box without any static credentials required.

What format is the data returned in?

The API returns data in the SDMX-JSON format, which includes detailed observations and metadata for economic series.

Can the agent list multiple datasets?

Yes. The `list_oecd_dataflows` tool retrieves the complete list of available dataflows and datasets from the OECD catalog.

OECD Data API MCP Server for CrewAI 3 tools — connect in under 2 minutes

Name: OECD Data API
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 3 Tools Framework

Connect your CrewAI agents to OECD Data API through Vinkius, pass the Edge URL in the `mcps` parameter and every OECD Data API tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="OECD Data API Specialist",
    goal="Help users interact with OECD Data API effectively",
    backstory=(
        "You are an expert at leveraging OECD Data API tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in OECD Data API "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 3 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, OECD Data API becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call OECD Data API tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the OECD Data API MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 3 tools from OECD Data API

Why Use CrewAI with the OECD Data API MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with OECD Data API through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

OECD Data API + CrewAI Use Cases

Practical scenarios where CrewAI combined with the OECD Data API MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries OECD Data API for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries OECD Data API, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain OECD Data API tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries OECD Data API against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

OECD Data API MCP Tools for CrewAI (3)

These 3 tools become available when you connect OECD Data API to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting OECD Data API to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

OECD Data API + CrewAI FAQ

Common questions about integrating OECD Data API MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.