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Looker Health MCP Tool

Looker Health MCP Tool

by BasavarajAngadi55
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Remote

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 (adk web) + Ollama model; calls tools via MCP

MCP Toolbox

Reads tools.yaml and exposes built-in Looker health tools over MCP

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

  1. Copy .toolbox.env.example → .toolbox.env and set Looker API3 credentials.

  2. Download the MCP Toolbox binary as toolbox (not committed to this repo).

  3. Start toolbox: source .toolbox.env && ./toolbox --tools-file tools.yaml --port 5000

  4. Create venv, install deps: python3 -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt

  5. Copy env for the agent and run: adk web --port 8000

See looker_health_agent/agent.py and tools.yaml for configuration details.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

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    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

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