"Running MySQL Queries Through a MySQL Socket" matching MCP servers:

Enables comprehensive MySQL database management including CRUD operations, schema queries, and natural language to SQL conversion support through complete database structure analysis.

Enables comprehensive MySQL database operations including cross-database queries, performance analysis, health monitoring, and AI-assisted database management with role-based access control.

Provides comprehensive MySQL database operations including CRUD, performance optimization, health analysis, and anomaly detection. Supports multiple connection modes, OAuth2.0 authentication, and role-based permissions for database management through natural language.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Codebase Q&A agent with git-history awareness. Explore a repo with list_files, read_file, and search, plus git log, blame, and diff and a repo map to answer "why did this change?" questions. Runs locally as an MCP server for Claude Code and other MCP clients.

Enables executing arbitrary Joern/CPGQL queries against a loaded Code Property Graph, loading source code in multiple languages (PHP, Java, JavaScript, Python, C/C++) to build new CPGs, and inspecting loaded projects and the active workspace. It communicates with a running Joern server over its synchronous HTTP query endpoint, so no state polling is required.

A lean, local knowledge graph that joins a repo's code to its aSPARK delivery artifacts, enabling agents to trace user stories to code and assess impact of changes, served over MCP.

Analyzes SQL queries for performance issues, provides optimization suggestions with automated rewriting, and recommends indexes across multiple database dialects (PostgreSQL, MySQL, Oracle, SQL Server).

Zero-dependency MCP server inspector for protocol conformance, tool annotations, and capability checks.

AI reads your codebase like a book - one page at a time. Pharaoh gives it the index and a map of how every chapter connects.

Enables AI coding agents to preflight SQL, NoSQL, graph, warehouse, and vector queries against real schemas or pasted DDL, estimating cost/risk, suggesting verified rewrites, and explaining plans before execution. It supports 12 database engines and catches costly query patterns without running the query.

7 SQL tools (validate, format, parse, lint, security scan, metadata extraction, full analysis) over Streamable HTTP. Supports 6 SQL dialects with 1.25M+ ops/sec.

Provides real-time TypeScript diagnostics with intelligent caching for AI agents, enabling instant queries instead of running tsc repeatedly.

locidx

Enables AI assistants to understand and analyze Spring Boot codebases through static analysis, allowing natural language queries about endpoints, classes, dependencies, and architecture without running the application.

Enables AI agents to format SQL, explain queries in plain English, analyze schemas, build queries from natural language, and generate migrations, all without requiring a database connection.

A toolkit for analyzing subreddits and post patterns to help choose communities and shape posts using real data, running as an MCP server and command-line tool.

Enables secure read-only querying of multiple database types (MySQL, PostgreSQL, MSSQL, Oracle) through natural language. Automatically reads database configuration from project files and blocks any data modification operations for safety.

Enables developers to analyze Django projects for risky code patterns such as cascade delete impact, N+1 queries, unsafe migrations, and unscoped tenant reads through MCP tools and a CLI.

Lints and autofixes Solidity smart contracts with Solhint, from any MCP client. Exposes lint_solidity, lint_file, lint_project, fix_solidity, fix_file, explain_rule and get_config, running Solhint through its JavaScript API against the project's own config and installed version.