glama.json

{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": [
    "ajitpratap0"
  ],
  "name": "gosqlx-mcp",
  "display_name": "GoSQLX — SQL Intelligence MCP Server",
  "description": "SQL parsing, formatting, linting, security scanning and metadata extraction, built on the GoSQLX Go SDK. 7 MCP tools: validate_sql, format_sql, parse_sql, extract_metadata, security_scan, lint_sql and analyze_sql. Dialect-aware validation for PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Snowflake, BigQuery, Redshift and ClickHouse. Zero-copy tokenizer, race-free, with object pooling.",
  "repository": "https://github.com/ajitpratap0/GoSQLX",
  "homepage": "https://gosqlx.dev",
  "version": "1.17.0",
  "license": "Apache-2.0",
  "author": {
    "name": "Ajit Pratap Singh",
    "url": "https://github.com/ajitpratap0"
  },
  "url": "https://mcp.gosqlx.dev/mcp",
  "transport": "streamable-http",
  "runtime": "go",
  "categories": [
    "developer-tools",
    "databases",
    "security",
    "code-quality"
  ],
  "keywords": [
    "sql",
    "sql-parser",
    "sql-formatter",
    "sql-linter",
    "sql-security",
    "sql-injection",
    "ast",
    "go",
    "golang",
    "postgresql",
    "mysql",
    "mariadb",
    "sqlite",
    "sql-server",
    "oracle",
    "snowflake",
    "bigquery",
    "redshift",
    "clickhouse",
    "mcp",
    "code-analysis"
  ],
  "tools": [
    {
      "name": "validate_sql",
      "description": "Check whether SQL is syntactically valid, optionally for a specific dialect (dialect parameter: generic, postgresql, mysql, mariadb, sqlserver, oracle, sqlite, snowflake, bigquery, redshift, clickhouse). Returns {valid: bool, error?: string, dialect?: string}."
    },
    {
      "name": "format_sql",
      "description": "Pretty-print SQL: one clause per line, configurable indent size, optional upper-case keywords and trailing semicolon. Comments are not kept. Returns {formatted_sql, options}."
    },
    {
      "name": "parse_sql",
      "description": "Parse SQL and return an AST summary: the statement count and the type of each statement."
    },
    {
      "name": "extract_metadata",
      "description": "Extract all tables, columns, and functions referenced in a SQL query. Useful for schema dependency analysis, query auditing, and impact analysis."
    },
    {
      "name": "security_scan",
      "description": "Scan SQL for injection attack patterns: tautologies (1=1), UNION-based attacks, stacked queries, comment bypasses, blind injection probes. Returns severity-classified findings (critical/high/medium/low) with descriptions and remediation suggestions."
    },
    {
      "name": "lint_sql",
      "description": "Lint SQL with the same 10 rules as `gosqlx lint` (L001–L010): trailing whitespace, mixed indentation, consecutive blank lines, indentation depth, line length (>100), column alignment, keyword case (upper), comma placement (trailing), aliasing consistency and redundant whitespace. Returns {violation_count, violations} with line/column positions."
    },
    {
      "name": "analyze_sql",
      "description": "Run validate, parse, metadata, security, lint and format concurrently and return one composite report. The most efficient way to get a full review of a query in one call."
    }
  ],
  "capabilities": {
    "tools": true,
    "prompts": false,
    "resources": false
  },
  "features": {
    "dialects": [
      "generic",
      "postgresql",
      "mysql",
      "mariadb",
      "sqlserver",
      "oracle",
      "sqlite",
      "snowflake",
      "bigquery",
      "redshift",
      "clickhouse"
    ],
    "security": {
      "injection_detection": true,
      "severity_levels": [
        "critical",
        "high",
        "medium",
        "low"
      ],
      "patterns": [
        "tautology",
        "union-attack",
        "stacked-queries",
        "comment-bypass",
        "blind-injection"
      ]
    },
    "linting": {
      "rules": 10,
      "rule_ids": [
        "L001",
        "L002",
        "L003",
        "L004",
        "L005",
        "L006",
        "L007",
        "L008",
        "L009",
        "L010"
      ],
      "note": "The GoSQLX CLI and Go SDK provide 30 rules (L001–L030); the MCP lint_sql tool applies L001–L010."
    },
    "performance": {
      "concurrency": "race-free",
      "memory": "zero-copy tokenizer with object pooling",
      "benchmarks": "https://gosqlx.dev/benchmarks"
    }
  },
  "related_servers": [
    "designcomputer/mysql_mcp_server",
    "ktanaka101/mcp-server-duckdb",
    "ClickHouse/mcp-clickhouse"
  ]
}