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BasavarajAngadi55

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: AWS Health 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.

This server cannot be deployed

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

Maintenance

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