data.world MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect data.world through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="data.world Assistant",
instructions=(
"You help users interact with data.world. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from data.world"
)
print(result.final_output)
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 data.world MCP Server
Integrate data.world, the enterprise data catalog and collaborative data platform, directly into your AI workflow. Discover datasets, monitor data projects, and explore saved queries and insights using natural language.
The OpenAI Agents SDK auto-discovers all 10 tools from data.world through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries data.world, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Data Discovery — Search the entire data.world catalog for relevant datasets and projects.
- Asset Management — List and retrieve detailed information for datasets and projects you own or manage.
- Collection Oversight — Explore curated collections of data assets within your organization.
- Query & Insight Access — List saved SQL/SPARQL queries and published insights for your data projects.
The data.world MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 data.world to OpenAI Agents SDK via MCP
Follow these steps to integrate the data.world MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from data.world
Why Use OpenAI Agents SDK with the data.world MCP Server
OpenAI Agents SDK provides unique advantages when paired with data.world through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
data.world + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the data.world MCP Server delivers measurable value.
Automated workflows: build agents that query data.world, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries data.world, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through data.world tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query data.world to resolve tickets, look up records, and update statuses without human intervention
data.world MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect data.world to OpenAI Agents SDK via MCP:
get_dataset_details
Includes field definitions, file listings, tags, and license information. Get detailed information for a specific dataset
get_my_profile
world. Returns profile attributes including username, display name, and account-level permissions. Retrieve metadata for the current authenticated user
get_project_details
Resolves project members, associated objective, and the current status of linked resources. Get detailed information for a specific project
list_dataset_queries
Returns a list of saved query definitions, including their language (SQL/SPARQL) and creator metadata. List all saved SQL or SPARQL queries for a dataset
list_my_collections
Returns collection identifiers, descriptions, and item counts. List all collections you own or manage
list_my_datasets
world catalog for datasets owned by the authenticated user. Returns a list of dataset metadata including title, visibility (public/private), and timestamp of last modification. List all datasets you own on data.world
list_my_projects
Returns project summaries including role (owner/contributor), creation date, and linked datasets. List all projects you own on data.world
list_project_insights
Insights represent documented findings and data visualizations attached to the project workspace. List all insights published within a project
list_recent_activity
Returns a stream of activity logs including dataset updates, project contributions, and new collection entries. List recent activities in your data.world account
search_catalog
world index. Supports full-text search across titles, descriptions, and tags. Returns a ranked list of matching resources. Search for datasets and projects across data.world
Example Prompts for data.world in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with data.world immediately.
"Search for datasets related to 'Global Climate Change'."
"List all SQL queries saved in my project 'Sales Analysis 2024'."
"Show me the insights published in dataset 'Retail Trends'."
Troubleshooting data.world MCP Server with OpenAI Agents SDK
Common issues when connecting data.world to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
data.world + OpenAI Agents SDK FAQ
Common questions about integrating data.world MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect data.world 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 data.world to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.