"database" matching MCP servers:

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.

MCP server for unified SQL database access, supporting multiple databases with schema discovery, caching, and safety controls.

DBeast MCP is a robust, security-first Model Context Protocol server designed to empower AI coding assistants (like Claude Desktop) with deep PostgreSQL database insights. Instead of just running basic SQL queries, DBeast equips your AI agent with tools to inspect active locks, audit slow queries, analyze table schemas, and safely generate index recommendations in real-time. Built specifically for

Enables AI assistants to search, analyze, and debug application API traffic captured by Tusk Drift, including HTTP requests, database queries, distributed traces, latency metrics, and error rates.

Enables querying OpenObserve logs—listing streams, inspecting schemas, and running SearchSQL time-windowed searches—so you can answer what actually happened in production. Optionally correlates those logs against a database through a verified read-only connection via DbSchema and DbQuery tools.

Enables AI assistants to interact with a Magento 2 or Adobe Commerce MySQL database through 50+ read-only tools for orders, catalog, customers, CMS, configuration, indexers, and diagnostics, with support for local DDEV, Commerce Cloud, and remote/SSH connections.

An MCP server that exposes a legacy vulnerability database as tools for LLM clients, enabling security analysts to query vulnerabilities using natural language through six specialized tools for vendor lookup, vulnerability search, and risk analysis.

FastMCP server with read-only tools to monitor Redis — queue depths, Celery queue status, connected clients, server/memory info, and per-database key counts

Provides LLM access to the Event Monitoring System (EMS) API for comprehensive flight data analytics and monitoring. It enables users to query flight records, retrieve time-series analytics, and explore aircraft assets or database hierarchies.

MCP server for Oracle Database enabling AI assistants to explore schemas, run queries, write data, and monitor sessions via natural language. Features read-only mode by default and uses Oracle Thin mode for zero-install connectivity.

MCP server enabling AI agents to explore SAP HANA schemas, execute SQL with guardrails, and access database metadata, monitoring, and business domain semantics.

Enables agents to report and query performance metrics to build a community-driven quality database for MCP tools. This server helps agents discover and select the most reliable tools based on success rates and user-reported quality scores.

Provides threat intelligence lookups against the AbuseIPDB database, enabling IP reputation checks, CIDR block analysis, and log enrichment. It features intelligent caching and rate limiting to efficiently manage API usage for security analysis and automated workflows.

Enables AI agents and MCP clients to perform read-only SQL Server DBA investigations across health, performance, backups, jobs, security, and schema design. It allows the AI to suggest fixes, but SQL Server permissions and tool checks prevent any database changes.

Enables LLM agents to explore schemas, run guarded read-only queries, inspect execution plans and check database health across a fleet of PostgreSQL databases, selecting a connection by id while credentials stay on the server. Supports multiple databases in one session, exposing schema search, table descriptions, health checks and cross-database relationship lookups over stdio MCP.

An MCP server for tracking and managing AI command usage history using a PostgreSQL database. It enables users to log, search, and view statistics for various AI-related commands and their execution contexts.

Enables local-first observability for MCP agent workflows by recording tool calls, prompts, latency, and token usage in a local SQLite database, and provides tools for inspecting, comparing, exporting, and generating dashboards from traces.

Enables comprehensive PostgreSQL database monitoring, analysis, and management through natural language queries. Provides performance insights, bloat analysis, vacuum monitoring, and intelligent maintenance recommendations across PostgreSQL versions 12-17.

Enables AI assistants and MCP clients to analyze offline Oracle AWR/ASH reports in HTML or text across Oracle 10g–23ai, including single-instance and RAC global reports, returning report type, version, active sessions, load profile, top waits and SQL with version-aware tuning advice plus a prioritized top-3 summary, all locally without an Oracle client or database connection.

Exposes local Reqable network capture traffic to MCP clients for real-time monitoring and analysis of HTTP requests. It enables developers to query, search, and generate code from captured traffic stored locally within a private SQLite database.