AWS MCP Servers is a collection of Model Context Protocol servers that let AI agents access AWS documentation and services through standardized tools. It is for developers building coding agents or other software that works with AWS. The catalogue includes MCP servers and related add-ons for using AWS through agents.
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 awslabs/mcp --skill aurora-dsql-skillgit clone --depth 1 https://github.com/awslabs/mcpWrote 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/awslabs/mcp/aurora-dsql-skill)<a href="https://agentmods.dev/skills/awslabs/mcp/aurora-dsql-skill"><img src="https://agentmods.dev/badge/skills/awslabs/mcp/aurora-dsql-skill/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/skills/awslabs/mcp/aurora-dsql-skill"><img src="https://agentmods.dev/badge/skills/awslabs/mcp/aurora-dsql-skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 10 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00045 | $0.00323 |
| Opus 5 | $0.00023 | $0.00161 |
| Sonnet 5 | $0.00009 | $0.00065 |
| Haiku 4.5 | $0.00005 | $0.00032 |
Grade A, and why
aurora dsql 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 7d 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.
This is a copy
100% identical to amazon aurora dsql — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Aurora DSQL Skill Moved
This standalone skill is deprecated. The canonical DSQL skill is now:
plugins/databases-on-aws/skills/dsql/SKILL.md in
awslabs/agent-plugins.
Redirect
- Check whether the canonical
dsqlskill is already available. - If it is available, read and follow its
SKILL.md, then read only the references that canonical skill routes to. - Do not combine canonical guidance with content from this deprecated standalone skill.
- If the canonical skill is unavailable, explain that the DSQL skill moved
to
awslabs/agent-plugins. - Get explicit user approval before installing anything or changing user configuration.
Repository-reading tools may read the canonical skill to provide advisory guidance. Reading its repository does not install the plugin, hooks, scripts, or MCP servers.
For Claude Code, the verified installation commands are:
/plugin marketplace add awslabs/agent-plugins
/plugin install databases-on-aws@agent-plugins-for-aws
For Codex and Cursor, use the current canonical installation instructions.
What ships with it
3 files 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.
- 7d ago Changed · -304 lines · -153 tokens per session 8f522ac689a0
- 9d ago First seen · 342 lines · 198 tokens per session scan A 6f2f6c9e042f
aurora dsql is a skill published in the GitHub repository awslabs/mcp (9,675 stars, last pushed 4d ago), licensed Apache-2.0. It adds 45 tokens to every session and 323 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to amazon aurora dsql, differing in 2 lines, and is treated as a copy.
Other skills, from other repositories
dsql
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, diagnose cluster performance, load data, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL and PostgreSQL-to-DSQL schema conversion, foreign key…
dv-query
Bulk reads, multi-page iteration, and analytics over Dataverse data. Use when the user wants to read, list, filter, aggregate, group, join, or analyze records — including pandas DataFrame workflows and notebook exploration.
solr-schema
To design and audit Solr schemas: field types, analyzers, docValues, solrconfig.
dv-connect
One-step setup for a Dataverse environment — installs tools, authenticates, registers the MCP server, and writes .env. Use when starting a new project, switching environments, fixing authentication, or troubleshooting an MCP connection that won't come up.
dynamodb
Use when modeling or operating a DynamoDB table: deriving partition/sort keys from access patterns, single-table vs table-per-entity, adding a GSI/LSI, on-demand vs provisioned capacity, or diagnosing hot-partition throttling. NOT relational schema/SQL/EXPLAIN (that is postgresdb), NOT aggregation-pipeline document…
odoo-data-quality-gate
Audit an Odoo database's data quality with evidence before trusting AI answers, importing, or migrating — duplicates, missing required values, orphaned references, format anomalies — and drive remediation through odoo-mcp's gated write workflow. Use when the user asks to "check data quality", "clean up data", "prepare…