Looker (Business Intelligence & Data) MCP Server
Manage your BI environment via Looker — list dashboards, execute inline queries, and audit saved Looks.
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What is the Looker MCP Server?
The Looker MCP Server gives AI agents like Claude, ChatGPT, and Cursor direct access to Looker via 7 tools. Manage your BI environment via Looker — list dashboards, execute inline queries, and audit saved Looks. Powered by the Vinkius - no API keys, no infrastructure, connect in under 2 minutes.
Built-in capabilities (7)
Tools for your AI Agents to operate Looker
Ask your AI agent "List the last 5 dashboards created in my Looker instance" and get the answer without opening a single dashboard. With 7 tools connected to real Looker data, your agents reason over live information, cross-reference it with other MCP servers, and deliver insights you would spend hours assembling manually.
Works with Claude, ChatGPT, Cursor, and any MCP-compatible client. Powered by the Vinkius - your credentials never touch the AI model, every request is auditable. Connect in under two minutes.
Why teams choose Vinkius
One subscription gives you access to thousands of MCP servers - and you can deploy your own to the Vinkius Edge. Your AI agents only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure and security, zero maintenance.
Build your own MCP Server with our secure development framework →Vinkius works with every AI agent you already use
…and any MCP-compatible client
Looker (Business Intelligence & Data) MCP Server capabilities
7 toolsGet complete details and queries mapping a Looker Dashboard ID
Get full mapped details tracing a strict Looker target Look object
List Looker dashboards
List root Folders analyzing explicit environment structures
List saved specific dataset mappings tracked as Looks
Execute queries building models specifically fetching literal dimensions dynamically natively
Search content metadata explicit mapping targets natively across instance
What the Looker (Business Intelligence & Data) MCP Server unlocks
Connect your Looker instance to any AI agent and take full control of your enterprise business intelligence and data analytics through natural conversation.
What you can do
- Dashboard Orchestration — List all managed dashboards and retrieve detailed configuration metrics and query structures directly from your agent
- Dynamic Data Queries — Execute inline queries against specific models and views to fetch literal dimensions and measures in real-time
- Look & Report Audit — Access saved 'Looks' to retrieve model mappings and applied filters for consistent data reporting across your organization
- Content & Folder Search — Search through content metadata and navigate folder hierarchies to identify key datasets and analytical assets securely
- Metadata Inspection — Extract precise UUIDs and configuration trees for dashboards and looks to understand the underlying data logic
- Resource Inventory — Enumerate root folders and top-level models to audit permissions and organizational structure across your Looker tenant
How it works
1. Subscribe to this server
2. Enter your Looker Base URL, Client ID, and Client Secret
3. Start exploring your data from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Data Analysts — verify dashboard configurations and run rapid inline queries through natural conversation without manual SQL exports
- Business Users — search for specific reports and retrieve rapid data summaries directly from your workspace
- Platform Engineers — audit content metadata access and manage folder hierarchies across multiple Looker environments efficiently
Frequently asked questions about the Looker (Business Intelligence & Data) MCP Server
Can I run a dynamic query against a LookML model through my agent?
Yes. Use the run_inline_query tool by providing the model name, view, and specific fields. Your agent will execute the query securely and return up to 100 rows of data, perfect for rapid data validation.
How do I see the filters applied to a specific Looker dashboard?
The get_dashboard tool retrieves the complete configuration for a Dashboard UUID. Your agent will expose the applied filters, element layouts, and underlying query structures directly in your chat interface.
Can my agent help me find reports in my Looker account?
Absolutely. Use the search_content tool to perform a deep search across content metadata. Your agent will identify dashboards and looks matching your text query, helping you locate critical data assets instantly.
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Connect Looker (Business Intelligence & Data) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Give your AI agents the power of Looker MCP Server
Production-grade Looker (Business Intelligence & Data) MCP Server. Verified, monitored, and maintained by Vinkius. Ready for your AI agents — connect and start using immediately.