Database Management MCP Servers
Discover our curated collection of MCP servers for database management. Browse 359 servers and find the perfect MCPs for your needs.
Johnnyoshika Sqlite
Implements a Model Context Protocol (MCP) SQLite server using Node.js, offering an npx-based solution for environments lacking Python's UVX runner.
Unstorage
Provides a Key-Value storage MCP server built on unjs/unstorage with support for various drivers like Redis, MongoDB, and filesystem.
Postgres
Provides PostgreSQL database operations through Model Context Protocol tools.
Feature Request Collection
Connects AI tools to a Supabase database, enabling queries of the feature_suggestions table.
DynamoDB
Manages Amazon DynamoDB resources, providing tools for table management, capacity management, and data operations.
Ssh Rails Runner
Enables secure remote execution of Rails console commands over SSH, facilitating both read-only operations and managed mutations in a deployed Rails environment.
Kusto
Provides access to Azure Data Explorer (ADX) clusters.
Materialize
Automatically creates MCP resources based on database schema and configuration.
Slowtime
Provides secure time-based operations with timing attack protection and timelock encryption.
Neo4j
Enables natural language interaction with a Neo4j graph database through Claude Desktop.
PocketBase
Implements an MCP-compliant server for PocketBase.
Nahmanmate PostgreSQL
Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.
CData Connect Cloud
Enables CData Connect Cloud integration with Claude Desktop by acting as an MCP server.
PostgreDB Finder
Locates and interacts with PostgreSQL databases used by MCP servers.
Supabase Model Context Protocol
Enables Large Language Models to interact with Supabase databases for CRUD operations.
Postgers
Provides an MCP server for accessing Postgres databases on AWS RDS.
SQL Server Agent
Enables users to query SQL Server databases using natural language and receive structured SQL responses.
LibraryAI
Facilitates AI knowledge base creation and data processing using vector databases.
MySQL
Enables database interaction through MySQL, supporting SQL queries, table creation, and schema exploration.
Mysql
Serves as a MySQL database management tool.
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