MySQL MCP server

Lets an AI client read database schemas and run SQL queries across PostgreSQL, MySQL, SQLite and 29 plugin drivers through a built-in MCP server.

Lets an AI client query MySQL row history, forensic change attribution, and undo SQL through read-only tools.

Allows AI agents to query and explore over 100 different databases using existing DBCode connections.

Connects AI agents and IDEs to enterprise databases using prebuilt tools or a custom framework for secure, structured queries.

Connects AI agents and IDEs to enterprise databases using prebuilt tools or a custom framework for secure, structured queries.

Allows AI agents to query over 100 different databases using pre-configured connections.

Allows AI clients to inspect MySQL schemas and execute read-only or writeable SQL queries through the Model Context Protocol.

Provides read-only access to PostgreSQL, MySQL, and ClickHouse for exploratory data analysis and statistical profiling.

Reduces text-to-SQL token usage by selecting only identity-authorized tables for the LLM prompt.

Connects AI clients to multiple database engines by reusing DBeaver connections and providing native driver support.

A diverse collection of MCP servers that enable AI assistants to interact with AWS, Datadog, Google Workspace, databases, and multi-agent coordination systems.

Lets an AI client explore MySQL databases, inspect schemas, sample table data, and run SQL queries.

Lets an AI assistant manage your local development stack, including PHP, Node, MySQL, and web servers.

Turns any SQL database into a governed REST API and MCP server so AI clients can browse schemas and query or modify data.

Lets an AI client connect to MySQL, MariaDB, PostgreSQL, or SQLite to discover schemas, run queries, and manage tables.

Lets an AI client explore and query MySQL, MariaDB, PostgreSQL, and SQLite databases with PII redaction and read-only defaults.

Connects AI clients to PostgreSQL, MySQL, SQL Server, Oracle, MariaDB, and SQLite to explore schemas and execute SQL queries.

Integrate AI agents with production-ready MySQL environments using specialized tools for CRUD, schema management, and real-time observability.

Lets an AI client explore, query, and audit PostgreSQL, MySQL, and SQLite databases using read-only SQL with built-in safety guardrails.

Lints SQL queries for validity and anti-patterns and verifies that query rewrites return identical results across multiple database dialects.

Lets an AI client query and manage 1Panel servers, including nodes, websites, certificates, apps and MySQL.

Enables Claude Desktop to execute read-only SQL queries against MySQL databases using natural language.

Provides AI clients with safe, structured access to MySQL databases using tools for executing SQL and searching schema objects.

Provides AI assistants with secure access to PostgreSQL, MySQL, and SQLite databases through prepared statements and configurable read-only modes.

Lets AI assistants query, modify, and inspect multiple MySQL, PostgreSQL, SQLite, and Oracle databases through a unified tool interface.

Provides AI clients with safe, structured access to MariaDB databases using controlled SQL execution and schema searching.

Provides read-only access to MySQL databases, allowing AI clients to list databases, describe schemas, and execute SELECT queries.

Lets an AI client inspect a Local by Flywheel WordPress database schema and run read-only SQL queries.

Provides persistent semantic memory for SQL databases, allowing AI clients to remember schema meanings and relationships across sessions.

Adds a security layer between an LLM and a database with PII masking, role-based access control, rate limiting, and audit logging.

Adds a security layer between an LLM and a database with PII masking, role-based access control, and audit logging.

Protects relational databases from AI agents using dry-run sandboxing, intent-vs-effect gap analysis, and PII masking.

Enables AI clients to query databases and files with verified answers, providing the underlying SQL queries and data rows to prevent hallucinations.

Converts database schemas from various SQL dialects into a compact, human-readable TOON format for AI clients and documentation.

Lets an AI client query PostgreSQL, MySQL, S3 and local files with read-only federated SQL and inspect schemas and streams.

Lets an AI client run read-only SQL queries, inspect schemas, and analyze MySQL server performance, health, and security.

Allows AI agents to manage Beget hosting services including sites, domains, DNS, MySQL, FTP, cron jobs, backups, and email accounts.

Lets AI coding assistants access database schemas and execute queries through NeoSQL Desktop connections.

Converts OpenAPI specs, databases, and documents into managed MCP servers for AI clients like Claude, ChatGPT, and Cursor.

Provides deterministic safety reviews for MySQL migrations, queries, and application code to prevent data loss, locks, and SQL injection.

Lets AI agents query MySQL, PostgreSQL, SQLite, DuckDB, SQL Server, and ClickHouse using a token-efficient Rust binary.

Lets an AI client connect to and explore relational databases, Redis, MongoDB, Milvus, Elasticsearch, and Kafka through one MCP server.

Lets AI agents query and manage databases and business tools through a secure, controlled data layer.

Allows an AI client to manage a Panelica hosting panel by provisioning domains, issuing SSL certificates, creating databases, and managing server services.

Connect AI agents to PostgreSQL, MySQL, and SQLite databases through a single read-only interface with optional governance and auditing.

Lets AI clients parse, format, lint, highlight and security-scan SQL across 8 dialects via 7 MCP tools.

An AI database agent for PostgreSQL and MySQL that performs schema exploration, query generation, slow query analysis, and index recommendations.

Acts as a security gateway for AI agents to access PostgreSQL and MySQL databases through SQL auditing, authentication, and data masking.

Provides safety-railed database access to PostgreSQL, MySQL, SQLite, and Redis with explicit query and write policies.

Allows an AI client to query and manage MySQL databases using AST-validated SQL statements and strict table whitelisting for enhanced security.