data.world MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add data.world as an MCP tool provider through the Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="dataworld_agent",
tools=tools,
system_message=(
"You help users with data.world. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use data.world tools. Connect 10 tools through the Vinkius and assign role-based access — a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the data.world MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from data.world automatically
Why Use AutoGen with the data.world MCP Server
AutoGen provides unique advantages when paired with data.world through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use data.world tools to solve complex tasks
Role-based architecture lets you assign data.world tool access to specific agents — a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive data.world tool calls
Code execution sandbox: AutoGen agents can write and run code that processes data.world tool responses in an isolated environment
data.world + AutoGen Use Cases
Practical scenarios where AutoGen combined with the data.world MCP Server delivers measurable value.
Collaborative analysis: one agent queries data.world while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from data.world, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using data.world data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process data.world responses in a sandboxed execution environment
data.world MCP Tools for AutoGen (10)
These 10 tools become available when you connect data.world to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting data.world to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"data.world + AutoGen FAQ
Common questions about integrating data.world MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.