// MCP TOOL REFERENCE

AWS LABS AURORA DSQL MCP SERVER TOOLS

7 tools from the AWS Labs Aurora DSQL MCP Server MCP Server, categorised by risk level.

View the AWS Labs Aurora DSQL MCP Server policy →

READ TOOLS

dsql_read_documentation Read specific DSQL documentation pages dsql_recommend Get recommendations for DSQL best practices dsql_search_documentation Search Aurora DSQL documentation get_schema Get the schema of the given table readonly_query Run a read-only SQL query against the configured Aurora DSQL cluster. Aurora DSQL is distributed SQL database with Postgres compatibility. The fol...

WRITE TOOLS

dsql_lint Validate SQL for Aurora DSQL compatibility and optionally auto-fix issues. Parses SQL and reports compatibility errors (unsupported syntax) with s...

DESTRUCTIVE TOOLS

transact Execute SQL statements in a transaction against the configured Aurora DSQL cluster. Aurora DSQL is a distributed SQL database with Postgres compat...

// FAQ

How many tools does the AWS Labs Aurora DSQL MCP Server MCP server have? +

The AWS Labs Aurora DSQL MCP Server MCP server exposes 7 tools across 3 categories: Read, Write, Destructive.

How do I enforce policies on AWS Labs Aurora DSQL MCP Server tools? +

Use Intercept, the open-source MCP proxy. Write YAML rules for each tool — rate limits, argument validation, or deny rules — then run Intercept in front of the AWS Labs Aurora DSQL MCP Server server.

What risk categories do AWS Labs Aurora DSQL MCP Server tools fall into? +

AWS Labs Aurora DSQL MCP Server tools are categorised as Read (5), Write (1), Destructive (1). Each category has a recommended default policy.

Let agents act without letting them run wild.

Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.

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