This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.
MCP servers
Declared configuration, as published in mcp.json. The directory shows indexed content; it never connects to or executes these servers.
{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"git+https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git",
"--mode=notebook"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"git+https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git",
"--mode=visualization"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"bigquery",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"spanner",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"alloydb-postgres-admin",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"alloydb-postgres",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"cloud-sql-postgres-admin",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"cloud-sql-postgres",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"dataplex",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"dataproc",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"serverless-spark",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}{
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"bigtable",
"--stdio",
"--user-agent-metadata",
"datacloud.other"
]
}What this package declares
The files a client reads when it loads this plugin, exactly as this revision carries them.
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "dak",
"version": "0.8.0",
"description": "This plugin provides a specialized suite of skills for data engineers and database practitioners working on Google Cloud. It acts as an expert assistant, allowing you to use natural language prompts in your preferred coding agent to architect complex data pipelines, transform data with dbt, write Spark and BigQuery SQL notebooks, and orchestrate end-to-end workflows across GCP's data ecosystem.",
"author": {
"name": "Google LLC",
"email": "data-cloud-ai-integrations@google.com"
},
"homepage": "https://docs.cloud.google.com/data-cloud-extension",
"repository": "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack",
"license": "Apache-2.0"
}
What else this package ships
These files come with the package and this site does not publish them. They are listed so you know what is there before you install it.
- 11Python files
- express_chat.ts
- 2other files