Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/gemini-cli-extensions/data-agent-kit-starter-packInstalling this writes the configuration, not the program: `node` runs a file from the repository, so clone it first and make the path in the command match where you put it.
Wrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/cloud-sql-postgresql)<a href="https://agentmods.dev/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/cloud-sql-postgresql"><img src="https://agentmods.dev/badge/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/cloud-sql-postgresql/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/cloud-sql-postgresql"><img src="https://agentmods.dev/badge/mcp/gemini-cli-extensions/data-agent-kit-starter-pack/cloud-sql-postgresql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
cloud-sql-postgresql scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
1 near-identical copy found in the catalogue:
- cloud-sql-postgres — 94% identical, 23 lines differ
What it actually says
{
"cloud-sql-postgresql": {
"command": "node",
"args": [
"${PLUGIN_ROOT}/mcp/bin/mcp_proxy_bundle.cjs",
"https://sqladmin.googleapis.com/mcp"
],
"env": {
"X_GOOG_PROXY_HEADERS": "{\"User-Agent\": \"datacloud.codex\"}"
}
}
}What else .mcp.json configures
This page is one entry in a file that holds 10. Installing the file brings all of them; each is measured and scanned on its own page.
- MCP server alloydb-postgres A not measured
- MCP server bigquery A not measured
- MCP server bigtable A not measured
- MCP server cloud-storage A not measured
- MCP server dataproc A not measured
- MCP server knowledge_catalog A not measured
- MCP server notebook A not measured
- MCP server spanner A not measured
- MCP server visualization A not measured
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · -11 lines 196ee9c1e1b2
- 1mo ago Changed e8520c286943
- 1mo ago First seen · 23 lines scan A 7467a8eb2667
cloud-sql-postgresql is an MCP server published in the GitHub repository gemini-cli-extensions/data-agent-kit-starter-pack (217 stars, last pushed 7d ago), licensed Apache-2.0. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other mcp servers, from other repositories
neon
Neon's hosted MCP server: lets the agent create and manage Neon Postgres projects, branches and databases and run SQL. Remote server at mcp.neon.tech.
AWSPostgres
MCP server "AWSPostgres" as configured in spacehendrix/clauder. Runs locally from the awslabs.postgres-mcp-server@latest Python package. Needs 3 environment variables to run.
postgresql
A CLI tool for running a toolbox server. Runs locally from the @toolbox-sdk/server npm package.
schemabrain
The trust and intelligence layer between AI agents and your database. Runs locally from the schemabrain Python package. Needs 1 environment variable to run.
semantic-rails
Agent-first semantic layer for governed analytics over DuckDB, Snowflake, Postgres, BigQuery, Databricks, Athena, ClickHouse, MotherDuck, and DuckLake. Runs locally from the semantic-rails Python package.
dbeast
MCP server "dbeast" as configured in snss10/DBeast. Runs ${workspaceFolder}/dbeast/src/server.py with python. Needs 9 environment variables to run.