GoSQLX
by FastDrop
SQL validation, formatting, parsing, metadata extraction, linting, and security analysis.
SQL validation, formatting, parsing, metadata extraction, linting, and security analysis. Official MCP Registry: io.github.ajitpratap0/gosqlx@1.16.0. Remote endpoint: https://mcp.gosqlx.dev/mcp
Problem it solves
Discoverable MCP server listed in the official MCP Registry.
How it's different
Remote MCP endpoint ingested from the official registry and probed by FastDrop.
Ingested from the official MCP Registry
FastDrop pulled this entry from the official MCP Registry as io.github.ajitpratap0/gosqlx and probed the endpoint. The maker did not submit it, so the outbound link is not endorsed
and the description is not theirs.
If this is your server, claim the listing to edit it and take ownership. The registry index lists everything else still awaiting a probe.
Claim this listingTools this endpoint exposes
Read directly from the endpoint on 22 Oct 2026. Not supplied by the maker.
analyze_sqlUse this when the user wants a complete review of a SQL query. Runs validate, parse, metadata, security, lint, and format concurrently and returns one composite report; hosts that support MCP Apps ren
extract_metadataUse this when the user wants the tables, columns, and functions a SQL query references (e.g. for lineage or impact analysis). Returns {tables, columns, functions}.
format_sqlUse this when the user wants SQL pretty-printed or reformatted: one clause per line, optional upper-case keywords and trailing semicolon. Comments are not kept. Returns {formatted_sql, options}.
lint_sqlUse this when the user wants SQL style feedback. Applies the same 10 rules as `gosqlx lint`: L001 trailing whitespace, L002 mixed indentation, L003 consecutive blank lines, L004 indentation depth, L00
parse_sqlUse this when the user wants to know how SQL parses: returns an AST summary with the statement count and the type of each statement.
security_scanUse this when the user wants SQL checked for injection patterns: tautologies, UNION attacks, stacked queries, comment bypasses, and more. Returns findings with severity counts.
validate_sqlUse this when the user wants to know whether a SQL statement is syntactically valid, optionally for a specific dialect. Returns {valid: bool, error?: string, dialect?: string}.
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