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 icon

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.

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Unstorage

Provides a Key-Value storage MCP server built on unjs/unstorage with support for various drivers like Redis, MongoDB, and filesystem.

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Postgres

Provides PostgreSQL database operations through Model Context Protocol tools.

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Feature Request Collection

Connects AI tools to a Supabase database, enabling queries of the feature_suggestions table.

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DynamoDB

Manages Amazon DynamoDB resources, providing tools for table management, capacity management, and data operations.

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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.

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Kusto

Provides access to Azure Data Explorer (ADX) clusters.

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Materialize

Automatically creates MCP resources based on database schema and configuration.

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Slowtime

Provides secure time-based operations with timing attack protection and timelock encryption.

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Neo4j

Enables natural language interaction with a Neo4j graph database through Claude Desktop.

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PocketBase

Implements an MCP-compliant server for PocketBase.

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Nahmanmate PostgreSQL

Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.

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CData Connect Cloud

Enables CData Connect Cloud integration with Claude Desktop by acting as an MCP server.

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PostgreDB Finder

Locates and interacts with PostgreSQL databases used by MCP servers.

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Supabase Model Context Protocol

Enables Large Language Models to interact with Supabase databases for CRUD operations.

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Postgers

Provides an MCP server for accessing Postgres databases on AWS RDS.

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SQL Server Agent

Enables users to query SQL Server databases using natural language and receive structured SQL responses.

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LibraryAI

Facilitates AI knowledge base creation and data processing using vector databases.

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MySQL

Enables database interaction through MySQL, supporting SQL queries, table creation, and schema exploration.

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Mysql

Serves as a MySQL database management tool.

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