Connects to Okta data via the Model Context Protocol (MCP) to enable natural language queries from Large Language Models (LLMs).

About

The CData Model Context Protocol (MCP) Server for Okta provides a read-only bridge between live Okta data and Large Language Models (LLMs) like Claude Desktop. Leveraging the CData JDBC Driver for Okta, it exposes Okta as relational SQL models, which are then made accessible through a simple MCP interface. This allows LLMs to retrieve real-time information by understanding natural language questions, eliminating the need for explicit SQL queries and empowering AI clients to interact directly with structured Okta data.

Key Features

  • Enables natural language querying of Okta data from LLMs
  • Exposes Okta data as relational SQL models via CData JDBC Drivers
  • Provides tools for retrieving available tables and columns
  • Supports executing SQL SELECT queries through the MCP interface
  • Integrates seamlessly with clients supporting the Model Context Protocol (e.g., Claude Desktop)
  • 0 GitHub stars

Use Cases

  • Allowing AI assistants to query and retrieve live Okta information using natural language.
  • Integrating Okta data into AI-driven analytics and reporting workflows without direct SQL knowledge.
  • Developing custom applications that interact with Okta data via JSON-RPC requests to the MCP server.
Okta Data Query for LLMs: Natural Language Access