Database MCP servers for Postgres, MySQL, SQLite, MongoDB and more: let an AI assistant inspect schemas and run queries with the access you allow. 1,095 servers in this category.
Executes SQL statements and manages transactions within a MySQL database via an AI client.
$claude mcp add mysql -- docker run -i --rm ghcr.io/hughhan1/mysql@sha256:858da81df0d25bba99f485ae663208f2255b2278be711924f9b08032398e7093
Generates layered Spring Boot Java code (Entity, DAO, Service, Controller, DTO, Mapper) from MySQL, PostgreSQL, or SQLite schemas for AI clients.
Adds durable event storage and session resumability to MCP Python servers using SQLite, Redis, or PostgreSQL.
Provides unified query access to AzerothCore game datastores including DBC files, SQL tables, terrain navmesh, and playerbot configurations.
Enables an AI client to search local Markdown documents, manage user notes, and interact with a local Ollama assistant using SQLite FTS5.
Allows an AI agent to query live Oracle Fusion data using plain English by generating and executing SQL through BI Publisher.
Scans multiple database engines for PII, PHI, and PCI data, masks sensitive findings, and generates compliance assessments against seven regulatory frameworks.
Enables AI clients to submit, query, and manage validated structured records through a multi-tenant platform with strict schema enforcement.
Allows an LLM client to query analytical databases through safe, read-only SQL tools and predefined KPIs using DuckDB.
Lets an AI client perform read-only data analysis on CSV, Excel, Parquet, and SQLite files using DuckDB and SQL validation.
Provides a graph-based memory bank using KuzuDB with symbolic ingestion, semantic search, and an LLM-powered distillation engine.
Lets an AI client develop Fabric notebooks, Dataflow Gen2, and manage Lakehouse/Warehouse data via the Fabric REST API.
Provides a read-only SQLite interface for AI agents with five layers of SQL defense to prevent unauthorized data modification.
Lets an AI agent run read-only SQL queries over local CSV, Parquet, and JSON files within a secure, sandboxed environment.
Lets an AI agent explore and analyze SQLite databases with verified read-only security, schema graphing, and data quality auditing.
Allows AI agents to manage, inspect, query, and optimize local SQLite databases through natural language chat sessions.
Indexes codebases into an Oracle AI Database to provide hybrid search, call graphs, module wikis, and agent memory for AI coding tools.
Provides an exact arithmetic, symbolic math, statistics, and SQL-over-files engine for local language models with auditable computation logs.
Provides an AI client with fast, offline access to NCBI ClinVar variant pathogenicity and gene-level classifications via a local SQLite index.
Lets an AI client query and manage 40+ databases through DMS with SQL execution, NL2SQL, schema browsing, and approval workflows.