How to Use the data.world MCP in Claude

Q: Can Claude Desktop run my saved data.world SQL queries?

Yes. Your agent uses listdatasetqueries to pull your saved SQL or SPARQL query code directly into the chat. You can review or modify them in real time.

Q: How does the data.world MCP Server handle dataset schemas in Claude Desktop?

The server uses getdatasetdetails to fetch field definitions and file listings. Your agent reads these details to understand the schema before drafting new code.

Q: Can I see what my team is working on?

Yes. The listrecentactivity tool pulls a live log of updates directly into your chat. Your agent uses this feed to keep you updated on team progress.

Pull data.world metadata, queries, and project schemas directly into Claude Desktop to write accurate SQL without leaving your chat.

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Connect data.world MCP to Claude Desktop

Create your Vinkius account to connect data.world to Claude Desktop and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup data.world with Claude Desktop

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Find datasets inside Claude Desktop

The `search_catalog` tool queries the data.world search index directly from your chat bar. This lets your agent locate specific data tables, view schemas, and read tags without making you open a browser tab to search. Once you locate the right asset, `get_dataset_details` extracts the exact field definitions, file listings, and license terms. This gives your agent the exact context needed to draft correct queries on the first try.

Run saved SQL directly in this MCP Server

The `list_dataset_queries` tool pulls saved SQL and SPARQL query definitions directly from your data.world workspace. This MCP server lets your agent read these existing templates to understand how your team structures its joins and filters. You can also call `get_project_details` to resolve project members and linked resources. It brings your entire data team's workspace context directly into the Claude Desktop interface.

Track team changes and project updates

The `list_recent_activity` tool fetches a live stream of dataset updates and project contributions from your account. Your agent uses this log to verify if a table was modified before you run your analysis. Combined with `list_my_projects` and `list_my_collections`, this toolset keeps your workspace organized. You see exactly what you own and what has changed in the last hour.

Setup guide

Set up data.world MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The data.world MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the data.world MCP configuration

Copy the JSON snippet on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under dataworld-mcp.

json

{
  "mcpServers": {
    "dataworld-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by data.world. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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Common questions about data.world MCP in Claude Desktop

Use the chat window to ask your agent to find specific tables. The MCP Server runs the command to scan your datasets and returns matching results instantly.

Yes. Your agent uses `list_dataset_queries` to pull your saved SQL or SPARQL query code directly into the chat. You can review or modify them in real time.

The server uses `get_dataset_details` to fetch field definitions and file listings. Your agent reads these details to understand the schema before drafting new code.

Yes. The `list_recent_activity` tool pulls a live log of updates directly into your chat. Your agent uses this feed to keep you updated on team progress.

Completely. Vinkius runs this server inside an isolated, zero-trust V8 sandbox that only handles your metadata on demand. Your credentials and schema definitions are never cached or stored on external servers.

Use it with your favorite AI tools

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