"Looker" matching MCP servers:

Provides AI assistants direct access to Looker through a standard MCP interface, enabling querying the semantic model, managing content, editing LookML, and administering users.

Automates Looker Studio dashboards using Playwright, enabling creation, modification, screenshots, and exports.

Provides over 60 administrative tools for managing users, groups, roles, schedules, alerts, and content access within Looker through the Model Context Protocol. It enables full administration of Looker environments, including permission management and system configuration.

Provides MCP tools to perform Looker health checks (health_pulse, health_analyze, health_vacuum) via the MCP Toolbox connector.

Enables AI agents to analyze LookML repositories for dead code, PDT costs, schema drift, and migration impact, using offline-first analysis of Looker and BigQuery metadata.

Enables data teams to define and validate metrics through conversation, inspect trust scores and lineage, and export definitions to Looker, Tableau, and dbt.

Configurable MCP server that converts any OpenAPI specification into MCP tools over HTTP, with support for dynamic reloading and environment variable expansion for secrets.