This article details the configuration of the Model Context Protocol (MCP) for use with Looker and OpenAI's Codex. The MCP acts as a universal connector, allowing different AI agents to interact with data platforms like Looker. Previous iterations of this setup utilized other agents such as Gemini CLI, Antigravity CLI, and Claude Code, but this version focuses on integrating Codex. Looker, a Google Cloud-based business intelligence platform, uses LookML to define data relationships and connects directly to data warehouses like BigQuery, Snowflake, and Redshift. AI
IMPACT Enables more seamless integration between AI agents and business intelligence platforms for data analysis.
RANK_REASON The article describes the configuration and integration of existing tools (Looker, Codex, MCP) rather than a new release or significant industry event.
- Antigravity CLI
- BigQuery
- Claude Code
- codex
- Gemini CLI
- Google.Cloud
- Google MCP Strategy
- Looker
- LookML
- MCP
- Redshift
- Snowflake
- MCP Toolbox
- OpenAI
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