glama.json

{
  "$schema": "https://glama.ai/mcp/schemas/server.json",
  "maintainers": ["ajitpratap0"],
  "name": "gosqlx-mcp",
  "display_name": "GoSQLX — SQL Intelligence MCP Server",
  "description": "Production-ready SQL parsing, formatting, linting, security scanning, and metadata extraction for Go. 7 MCP tools covering the full SQL analysis pipeline: validate_sql, format_sql, parse_sql, extract_metadata, security_scan, lint_sql, and analyze_sql. Supports PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Snowflake, and ClickHouse dialects. 1.38M+ ops/sec, zero-copy, race-free.",
  "repository": "https://github.com/ajitpratap0/GoSQLX",
  "homepage": "https://gosqlx.dev",
  "version": "1.14.0",
  "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",
    "clickhouse",
    "mcp",
    "code-analysis"
  ],
  "tools": [
    {
      "name": "validate_sql",
      "description": "Validate SQL syntax against generic or dialect-specific rules. Accepts optional dialect parameter (generic, mysql, postgresql, sqlite, sqlserver, oracle, snowflake). Returns {valid: bool, error?: string, dialect?: string}."
    },
    {
      "name": "format_sql",
      "description": "Format SQL with configurable indentation size, keyword casing (uppercase/lowercase), and optional trailing semicolon. Returns the formatted SQL string and the options applied."
    },
    {
      "name": "parse_sql",
      "description": "Parse SQL into an AST and return a summary: total statement count and fully-qualified AST node types for 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 against all 30 GoSQLX style rules (L001–L030): whitespace, keywords, safety, performance, and naming. Returns violations with line/column positions and fix suggestions."
    },
    {
      "name": "analyze_sql",
      "description": "Run all 6 analysis tools concurrently (validate_sql, parse_sql, extract_metadata, security_scan, lint_sql, format_sql) and return a single composite report. The most efficient way to get full SQL intelligence in one call."
    }
  ],
  "capabilities": {
    "tools": true,
    "prompts": false,
    "resources": false
  },
  "features": {
    "dialects": [
      "generic",
      "mysql",
      "mariadb",
      "postgresql",
      "sqlite",
      "sqlserver",
      "oracle",
      "snowflake",
      "clickhouse"
    ],
    "security": {
      "injection_detection": true,
      "severity_levels": ["critical", "high", "medium", "low"],
      "patterns": ["tautology", "union-attack", "stacked-queries", "comment-bypass", "blind-injection"]
    },
    "linting": {
      "rules": 30,
      "rule_ids": ["L001", "L002", "L003", "L004", "L005", "L006", "L007", "L008", "L009", "L010", "L011", "L012", "L013", "L014", "L015", "L016", "L017", "L018", "L019", "L020", "L021", "L022", "L023", "L024", "L025", "L026", "L027", "L028", "L029", "L030"]
    },
    "performance": {
      "ops_per_sec": "1380000+",
      "concurrency": "race-free",
      "memory": "zero-copy object pooling"
    }
  },
  "related_servers": [
    "designcomputer/mysql_mcp_server",
    "ktanaka101/mcp-server-duckdb",
    "ClickHouse/mcp-clickhouse"
  ]
}