MCP Server
AI assistants can access data stored in TQ Data Foundation via a Model Context Protocol (MCP) server. This allows users to query and explore asset collections using natural language through AI tools such as VS Code with GitHub Copilot, Claude Desktop, and Claude Code.
Note
This feature is currently experimental.
To connect your AI assistant, add the MCP server URL provided by your administrator to your client’s MCP configuration. Check your client documentation for details on how to add an MCP server.
Features
The MCP server allows AI assistants to:
List available asset collections in TQ Data Foundation
Run read-only SPARQL queries against TQ Data Foundation
Example questions you can ask your AI assistant:
“List asset collections in TQ Data Foundation”
“How many triples are in the Geo taxonomy in Data Foundation?”
“List people in the Kennedys graph in Data Foundation”
“Count the number of instances for each class in the Northwind collection in Data Foundation”