Looker Health MCP Tool
Provides tools for performing health checks (health_pulse, health_analyze, health_vacuum) on a Looker instance via the Looker API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Looker Health MCP Toolrun health pulse on my Looker instance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Looker Health MCP Tool
Local ADK agent + MCP Toolbox connector for Looker health checks (health_pulse, health_analyze, health_vacuum).
Architecture
flowchart LR
A[ADK Agent] -->|McpToolset| B[MCP Toolbox :5000/mcp]
B -->|reads| C[tools.yaml]
B -->|built-in kinds| D[looker-health-pulse / analyze / vacuum]
D -->|Looker API| E[Looker instance]Component | Role |
ADK Agent | Chat UI ( |
MCP Toolbox | Reads |
tools.yaml | Declares Looker source, tool kinds, and toolset — no custom tool code |
Looker API | Your configured Looker instance |
Related MCP server: postgres-mcp-server
Quick start
Copy
.toolbox.env.example→.toolbox.envand set Looker API3 credentials.Download the MCP Toolbox binary as
toolbox(not committed to this repo).Start toolbox:
source .toolbox.env && ./toolbox --tools-file tools.yaml --port 5000Create venv, install deps:
python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txtCopy env for the agent and run:
adk web --port 8000
See looker_health_agent/agent.py and tools.yaml for configuration details.
This server cannot be installed
Maintenance
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