"Reading data from MySQL database" matching MCP servers:

Generates importable Optimizely CMS 12 .episerverdata packages from content plans by reading a content-type export and writing the file, without interacting with a CMS instance.

Multi-database SQL validation service with Docker containerization, supporting PostgreSQL, MySQL, Oracle, SQL Server, and more, providing secure SQL execution with transaction rollback and zero data residue.

An MCP server that analyzes SQL schemas, generates realistic test data, benchmarks queries, and provides optimization recommendations to improve database performance.

An MCP server that mocks payments, third-party API responses, and test data to enable QA flows for donation, checkout, SIP, and subscription pages without depending on a live gateway.

Enables AI assistants to generate realistic, synthetic test data on demand, including valid PESELs, NIPs, addresses, and more across 27 EU countries, through two tools: list_generators and generate.

Generate realistic relational test data with 156 field types, 22 locales, and foreign key integrity. One API call seeds your entire database.

Enables LLM agents to programmatically inspect, debug, and test other MCP servers by wrapping the MCP Inspector CLI. Supports listing and calling tools, reading resources, and testing prompts on both local and remote MCP servers.

Generates realistic, referentially-coherent test data (SQL INSERTs, JSON, or CSV) from your database schema, resolving foreign keys and respecting constraints. Paste CREATE TABLE DDL or a JSON schema and get ready-to-run seed data with valid relationships.

Enables generating JSON Schema from sample data, generating TypeScript types, validating data against schemas, creating mock data from schemas, and comparing schemas for differences.

Automatically scans project dependencies (npm, Composer) for security vulnerabilities using the OSV.dev database, providing real-time alerts and detailed remediation guidance directly in your IDE.

An MCP server for running Playwright tests and reading structured results, failed test details, and attachment content, designed for AI agents doing test failure analysis.

Generates schema-compliant mock data from OpenAPI JSON Schema definitions using AI, enabling seamless testing without manual fixtures.

Enables an agent to inspect and interact with Android emulators or physical devices via ADB, capturing UI snapshots, tapping nodes, typing text, and reading app logs.

Enables AI agents to interact with live Power BI Desktop report canvas via Chrome DevTools Protocol, performing actions like page navigation, clicking slicers, reading cards and matrices, and capturing baselines.

Enables programmatic control of the mGBA emulator for Game Boy, Game Boy Color, and Game Boy Advance games, including screenshot capture, memory reading, sprite data dumping, and custom Lua script execution for automated testing and game analysis.

Provides AI agents with Roku BrightScript debugging tools, including log reading, scene graph inspection, breakpoint management, variable inspection, and execution control.

Enables reading and analyzing CodeFactor repository issue pages, providing normalized issue data, summaries, and prompts for code improvements.

Enables building, maintaining, running, and reading reports for Apache JMeter test plans through typed MCP tools, without opening the GUI.

Enables AI assistants to perform QC Database tasks such as uploading records, managing project turnover packages, and signing off on inspections via natural language.

Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.