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Dsql

Checked
awslabs·vlatest·database·Apache-2.0

Dsql allows you to execute SQL queries directly against AWS Glue Data Catalog tables, simplifying data access and analysis.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add awslabs/mcp --skill dsql -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

awslabs

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned awslabs/mcp at 32f2aea611.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
32f2aea611
Manifest
src/aurora-dsql-mcp-server/skills/dsql-skill/SKILL.md
Scanned
1 file, 36 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The dsql skill enables AI agents to interact with DynamoDB tables using a simplified, SQL-like syntax. It allows agents to query data without writing complex native DynamoDB expressions or managing low-level API calls directly. This abstraction makes it easier for agents to retrieve and manipulate structured data within AWS environments.

When to use it

  • Querying large datasets in DynamoDB when standard text-based prompts fail to return precise results.
  • Retrieving specific records based on complex filtering conditions that mimic SQL WHERE clauses.
  • Performing aggregations or sorting operations on NoSQL data stored in AWS infrastructure.
  • Automating data extraction tasks where the agent needs consistent, structured output from a database.

Key capabilities

  • Executes SQL-like queries against DynamoDB tables.
  • Simplifies complex data retrieval logic for AI agents.
  • Reduces the need for agents to understand native DynamoDB API syntax.
  • Facilitates seamless integration between generative AI and AWS NoSQL databases.

Example prompts

  • "Use dsql to find all users in the 'customers' table who have an active subscription status."
  • "Query the 'inventory' table for items where stock is below 10 units using dsql."
  • "Retrieve the top 5 highest-priced products from the 'products' table sorted by price descending."

Tips & gotchas

Ensure your AI agent has explicit permission to access the target DynamoDB tables before attempting queries. While dsql simplifies syntax, it still requires valid table names and column structures that exist in your AWS environment; incorrect schema references will result in query failures.