Skip to content

Optimize MCP config: bundle cross-spawn and use local path notebook mcp server #47

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Draft
snehshah22 wants to merge 1 commit into
base: main
Choose a base branch
from
Draft

Optimize MCP config: bundle cross-spawn and use local path notebook mcp server #47

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
2 changes: 1 addition & 1 deletion .claude-plugin/plugin.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -2,5 +2,5 @@
"name": "data-agent-kit-starter-pack",
"version": "0.1.0",
"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.",
"mcp": "./.mcp.json"
"mcp": "./.mcp.claude.json"
}
164 changes: 164 additions & 0 deletions .mcp.claude.json
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,164 @@
{
"mcpServers": {
"notebook_and_visualization": {
"command": "node",
"args": [
"${CLAUDE_PLUGIN_ROOT}/mcp/dist/index.js"
],
"env": {},
"env_vars": [
"DATA_CLOUD_CURR_IDE_NAME"
]
},
"datacloud_bigquery_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"bigquery",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"BIGQUERY_LOCATION": "",
"BIGQUERY_PROJECT": ""
}
},
"datacloud_spanner_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"spanner",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"SPANNER_DATABASE": "",
"SPANNER_DIALECT": "",
"SPANNER_INSTANCE": "",
"SPANNER_PROJECT": ""
}
},
"datacloud_alloydb-postgres-admin_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"alloydb-postgres-admin",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {}
},
"datacloud_alloydb-postgres_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"alloydb-postgres",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"ALLOYDB_POSTGRES_CLUSTER": "",
"ALLOYDB_POSTGRES_DATABASE": "",
"ALLOYDB_POSTGRES_INSTANCE": "",
"ALLOYDB_POSTGRES_IP_TYPE": "",
"ALLOYDB_POSTGRES_PASSWORD": "",
"ALLOYDB_POSTGRES_PROJECT": "",
"ALLOYDB_POSTGRES_REGION": "",
"ALLOYDB_POSTGRES_USER": ""
}
},
"datacloud_cloud-sql-postgresql-admin_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"cloud-sql-postgres-admin",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {}
},
"datacloud_cloud-sql-postgresql_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"cloud-sql-postgres",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"CLOUD_SQL_POSTGRES_DATABASE": "",
"CLOUD_SQL_POSTGRES_INSTANCE": "",
"CLOUD_SQL_POSTGRES_IP_TYPE": "",
"CLOUD_SQL_POSTGRES_PASSWORD": "",
"CLOUD_SQL_POSTGRES_PROJECT": "",
"CLOUD_SQL_POSTGRES_REGION": "",
"CLOUD_SQL_POSTGRES_USER": ""
}
},
"datacloud_knowledge_catalog_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"dataplex",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"DATAPLEX_PROJECT": ""
}
},
"datacloud_dataproc_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"dataproc",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"DATAPROC_PROJECT": "",
"DATAPROC_REGION": ""
}
},
"datacloud_serverless-spark_toolbox": {
"command": "npx",
"args": [
"-y",
"@toolbox-sdk/server@>=1.1.0",
"--prebuilt",
"serverless-spark",
"--stdio",
"--user-agent-metadata",
"datacloud.claude-and-codex"
],
"env": {
"SERVERLESS_SPARK_PROJECT": "",
"SERVERLESS_SPARK_LOCATION": ""
}
}
}
}
6 changes: 3 additions & 3 deletions gemini-extension.json
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -4,11 +4,11 @@
"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.",
"mcpServers": {
"notebook_and_visualization": {
"command": "npx",
"command": "node",
"args": [
"-y",
"git+https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git"
"${extensionPath}/mcp/dist/index.js"
],
"cwd": "${extensionPath}/mcp",
"env": {}
},
"datacloud_bigquery_toolbox": {
Expand Down
4 changes: 2 additions & 2 deletions mcp/build.js
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -38,9 +38,9 @@ esbuild.build({
platform: 'node',
format: 'esm',
outfile: 'dist/index.js',
external: ['child_process', 'fs', 'path', 'url', 'cross-spawn'],
external: ['child_process', 'fs', 'path', 'url'],
banner: {
js: `#!/usr/bin/env node\n${licenseHeader}\n`,
js: `#!/usr/bin/env node\n${licenseHeader}\nimport { createRequire } from 'module';\nconst require = createRequire(import.meta.url);\n`,
},
}).catch((err) => {
console.error(err);
Expand Down
Loading
Loading