MCP Toolbox for Databases is an open-source Model Context Protocol server that connects AI agents, development environments, and applications to enterprise databases through ready-made or custom tools. It is for exploring schemas, querying data, generating code, and building specialized database tools for production agents. The catalogue includes its skills, instructions, and MCP server integration.
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.
npx skills add googleapis/mcp-toolbox --skill stale-sweepgit clone --depth 1 https://github.com/googleapis/mcp-toolboxWrote 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/skills/googleapis/mcp-toolbox/stale-sweep)<a href="https://agentmods.dev/skills/googleapis/mcp-toolbox/stale-sweep"><img src="https://agentmods.dev/badge/skills/googleapis/mcp-toolbox/stale-sweep.svg" alt="Measured on agentmods" height="20"></a>- Snyk warn
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00159 | $0.02517 |
| Opus 5 | $0.00079 | $0.01259 |
| Sonnet 5 | $0.00032 | $0.00503 |
| Haiku 4.5 | $0.00016 | $0.00252 |
Grade A, and why
stale-sweep 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 210 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Stale Sweep (mcp-toolbox)
This repo runs no stale bot (.github/ has no stale workflow), so closing is always a deliberate
maintainer act. The value of a sweep is therefore not the list of old things, which anyone can get
by sorting on a date. It's the judgment about which silences belong to the contributor, which belong
to us, and which are the backlog working as intended.
Goal
Given a window (default 60 days), deliver a sweep the maintainer can work through in one sitting: every candidate sorted into close / nudge-author / on-us / leave-alone, each with the date and reason that put it there, plus a paste-ready comment wherever one is warranted.
Prerequisites
ghauthenticated forgoogleapis/mcp-toolbox. A GitHub MCP server substitutes: the commands below map to its read/list tools.- A window. If the maintainer didn't give one, default to 60 days and say that's what you used.
Workflow
Step 1: Read the source of truth
Read these live, not from memory.
- references/maintainer-playbook.md: authoritative for the
60-day silence rule on
status: waiting for response/status: feedback wanted, the SLO response and closure targets, and the canonical comment templates. gh label list --repo googleapis/mcp-toolbox --limit 200: there is nostalelabel, so never propose one. This workflow's vocabulary isstatus: waiting for response,status: feedback wanted,duplicate, andwontfix..github/blunderbuss.yml: whichproduct:label routes to which team, needed to name an owner on anything blocked on us.
Step 2: Pull the candidates
CUTOFF=$(date -d '60 days ago' +%F 2>/dev/null || date -v-60d +%F) # GNU, then BSD/macOS
gh search issues --repo googleapis/mcp-toolbox --state open --updated "<$CUTOFF" \
--limit 100 --json number,title,url,updatedAt,createdAt,labels,author,commentsCount
gh search prs --repo googleapis/mcp-toolbox --state open --updated "<$CUTOFF" \
--limit 100 --json number,title,url,updatedAt,labels,author,isDraft
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 210 lines · 159 tokens per session scan A 28bfc13e59ed
stale-sweep is a skill published in the GitHub repository googleapis/mcp-toolbox (16,330 stars, last pushed today), licensed Apache-2.0. It adds 159 tokens to every session and 2,517 once invoked, about $0.0008 per session on Opus 5. 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.
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