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j4c0bs/mcp-server-sql-analyzer

by Various

MCP server for SQL static analysis.

J

MCP

j4c0bs/mcp-server-sql-analyzer

Added 1 June 2026

Overview

j4c0bs/mcp-server-sql-analyzer is a Python-based MCP server that performs static analysis on SQL queries. It integrates with MCP-compatible clients to identify potential issues in SQL code without executing it.

Best for

Best for
Developers who want automated SQL quality checks in their MCP-enabled workflow

Use cases

  • Catch syntax errors and anti-patterns in SQL during development
  • Enforce SQL coding standards across a team's codebase
  • Automate SQL review in CI/CD pipelines via MCP integration

How to use

Install

npx @modelcontextprotocol/inspector uv --directory /path/to/mcp-server-sql-analyzer run mcp-server-sql-analyzer

Tested with

Claude Desktop

Example client config

{\n  "mcpServers": {\n      "sql-analyzer": {\n          "command": "uvx",\n          "args": [\n              "--from",\n              "git+https://github.com/j4c0bs/mcp-server-sql-analyzer.git",\n              "mcp-server-sql-analyzer"\n          ]\n      }\n  }\n}

Notes

j4c0bs/mcp-server-sql-analyzer is a Python-based MCP server that performs static analysis on SQL queries. It integrates with MCP-compatible clients to identify potential issues in SQL code without executing it.

30 stars on GitHub. Last updated 2025-07-01. Licensed MIT.

Use cases

  • Catch syntax errors and anti-patterns in SQL during development
  • Enforce SQL coding standards across a team’s codebase
  • Automate SQL review in CI/CD pipelines via MCP integration

Pros

  • Lightweight and focused on a single, well-defined task
  • Easy to integrate with existing MCP-compatible tools
  • Open source with a permissive license

Cons

  • Limited to static analysis; cannot detect runtime or data-dependent issues
  • Small community and low star count may mean slower updates or fewer features
  • Requires an MCP-compatible client to be useful

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Lightweight and focused on a single, well-defined task
  • Easy to integrate with existing MCP-compatible tools
  • Open source with a permissive license

Cons

  • Limited to static analysis; cannot detect runtime or data-dependent issues
  • Small community and low star count may mean slower updates or fewer features
  • Requires an MCP-compatible client to be useful
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