"How to query a MySQL database" matching MCP servers:

Provides secure MySQL database access using credentials stored in 1Password, enabling AI assistants to query MySQL databases without exposing passwords.

A small MCP server that lets an LLM query PostgreSQL, MySQL, MariaDB, SQL Server, or SQLite databases safely — read-only, role-restricted, and with sensitive data blacked out.

High-privilege MySQL admin MCP server for database and user/grant management.

Enables LLM clients to safely inspect database schemas and run only approved read-only queries and stored procedures, with auditing.

Enables AI agents to query and modify MySQL and MariaDB databases over MCP, with each connection independently permitting selects, inserts, updates, deletes, and DDL while defaulting to read-only and rejecting anything outside the allowed operations. Connections are configured in JSON, result sets are capped and truncated, and passwords stay server-side.

Enables AI clients to safely query PostgreSQL or SQLite databases read-only through AST-validated guardrails, schema introspection, and statistical table profiling. It returns results as Markdown tables, JSON audit reports, and database health checks.

Enables MCP-compatible AI agents to run policy-checked SQL against MySQL through a self-hosted Streamable HTTP endpoint, where each request is authenticated by bearer token and constrained by role-based statement allowlists, timeouts, and row limits. It also provides identity introspection, admin-gated configuration reload, and JSONL audit logging of allowed, denied, and errored queries.

Enables secure interaction with MySQL databases, allowing AI assistants to list tables, read data, and execute SQL queries through a controlled interface.

SchemaBrain is an MCP server that sits between AI agents (Claude, Cursor, Windsurf) and your SQL database as a read-only trust + intelligence layer. The agent never writes SQL — 12 tools compile it from definitions you control, PII and secret categories are refused before the query runs, and every call lands in a tamper-evident (SHA-256-chained) audit log. Postgres today.

Routes web requests from AI tools through Tor for anonymized fetching, with selective per-URL routing to bypass Tor-blocking sites.

An MCP server that reads a file's embedded C2PA Content Credential to report whether it declares AI generation or a real-world capture, and checks whether that declaration's signature still verifies against the file's current bytes.

Enables AI agents to securely use real secrets (API keys, database passwords) by requiring human approval for each release, ensuring secrets never enter the model's context.

A secure MCP server for querying a subscription business database with AST-based SQL guarding, PII masking, audited two-step write actions, and a seeded demo dataset.

A secure PostgreSQL Model Context Protocol server that provides read-only database access through tools like schema listing, object inspection, query execution, and EXPLAIN analysis, with database-enforced access control via read-only transactions and a minimal role rather than SQL text parsing.

Connect your database to your AI agent, read-only, without sharing your password. Maplith Bridge serves a folder of data files over MCP behind a token you create, and fills it from PostgreSQL under a role that can only read.

Enables AI assistants to read identification verdicts, search history, summarize entities, explain risk scores, and verify webhook signatures through read-only tools over stdio or streamable HTTP.

Exports vulnerability and asset data from Rapid7 Command Platform via the Bulk Export API into a local DuckDB database, enabling AI assistants to run natural language queries and SQL analysis with sandboxed security.

Enables MCP-compatible agents to query security checklists, protocols, and framework mappings to safely build and operate AI agents, with tools for checklist runs, protocol lookup, mapping lookup, and threat search.

A local-first MCP server that scores your codebase's Build Readiness by reading code and running tests on your machine, outputting a diligence-grade score and risk register without uploading your source.

Enables passive security scanning of HAR files from QA test automation to detect missing security headers, insecure cookies, CORS misconfigurations, and leaked secrets, without making any live requests.