Databases MCP Repositories
420 repositories in this category. Secure database access with schema inspection capabilities. Enables querying and analyzing data with configurable security controls including read-only access.
Mssql_mcp_server
→Enables secure and structured interaction with Microsoft SQL Server databases, allowing users to list tables, read table contents, and execute SQL queries with controlled access.
Mcp Server Qdrant
→Store and retrieve text information with associated metadata using a Qdrant vector database. Supports semantic search capabilities and integrates with FastEmbed for enhanced text embeddings, all configurable via environment variables.
Mcp Neo4j Memory Server
→Store and retrieve information from AI interactions using a Neo4j backend, facilitating advanced graph querying and memory management. Enhances performance and scalability for complex knowledge graph applications.
Vikingdb Mcp Server
→Store and retrieve vector embeddings in VikingDB, a high-performance vector database. Supports vector similarity searching and information upserting for later retrieval.
Cursor Ide Api
→Manage posts with functionalities for creating, reading, updating, and deleting entries while enforcing user authentication and maintaining detailed logs. Implements paginated responses and integrates with an SQLite database for robust content management.
Giggatek
→GigGatek is an ecommerce platform focused on refurbished computer hardware, offering functionalities for direct sales and rent-to-own services. It supports user interactions through a web interface with backend operations in Python and a MySQL database for data management.
Klavis
→Generates visually appealing web reports based on simple search queries, integrating live web search results and storing reports in a database for easy access. Utilizes AI to synthesize information into interactive HTML formats.
Mysql Mcp
→Interact with MySQL databases by executing SQL queries, managing notes, and exploring database structures. Create, list, and search database content seamlessly within AI workflows.
Superset Mcp Server
→Provides basic database querying capabilities through the Apache Superset REST API, enabling execution of SQL commands and retrieval of data from various database sources.
Mcp Server Bigquery
→Provides access to BigQuery for inspecting database schemas and executing SQL queries against datasets.
Mcp Postgres Server
→Leverage PostgreSQL databases for executing read-only SQL queries and exploring database schemas. Integrate powerful database capabilities directly into workflows for enhanced application functionality.
Omnispindle
→Manage todo requests with efficient integration between FastMCP and MongoDB, supporting task processing through agent-based workers and real-time updates. Ideal for enhancing task management workflows with AI model integration.
Mcp Server Test
→Connect to PostgreSQL databases to execute read-only SQL queries, explore schemas, and visualize data relationships for analysis. Utilize pre-built prompts for common data analysis tasks.
Mcp Db Navigator
→Facilitate navigation and management of MySQL and MariaDB databases via a secure and type-safe MCP server. Execute SQL queries, retrieve schema information, and manage connections efficiently.
Mysql Mcp Server
→Interact with MySQL databases to perform operations such as creating tables and executing queries. Integrate database functionalities directly into workflows seamlessly.
Habibi Dashboard 85
→A complete property management system that facilitates the management of properties, bookings, financial reporting, and owner-tenant communication through a FastAPI backend and a React frontend.
Redshift Mcp Server
→Enable interaction with Amazon Redshift databases by listing schemas and tables, executing SQL queries, analyzing tables, and obtaining execution plans. Retrieve table DDL scripts and statistics for efficient data management.
Tg_mcp
→Expose TigerGraph graph database operations as structured tools and URI-based resources for MCP agents, facilitating schema introspection, query execution, and vertex/edge upsert through a Python interface.
Simple Psql Mcp
→Run SQL queries and manage data within a PostgreSQL database. Connect AI for advanced data manipulation and analysis through simple command execution.
Supabase Mcp
→Interact with Supabase databases, executing complex queries and generating TypeScript types. Simplify database interactions and enhance type management through a seamless interface.
Mcp Odbc Server
→Provides access to ODBC data sources for executing SQL queries and interacting with databases through a standardized interface. Facilitates seamless database management and data retrieval for AI models using ODBC-compatible drivers.
Mcp Pyodbc Server
→Connect to databases using ODBC, enabling real-time data fetching, schema exploration, and query execution. Provides functionalities for managing schemas, tables, and stored procedures across various database management systems.
Mcp Sqlalchemy Server
→Connect to various databases using ODBC and SQLAlchemy, facilitating data management tasks such as retrieving schemas, tables, and executing queries. It enhances database interactions through a lightweight server built with FastAPI.
Mcpfirebird
→Connect and manipulate Firebird databases using AI, allowing for data analysis and optimization through natural language and SQL commands.
Mongo Mcp
→Enables LLMs to interact directly with MongoDB databases using natural language, facilitating schema inspection, document querying, and data management.
Supabase Mcp Server
→Manage a Supabase PostgreSQL database using natural language commands, enabling efficient database management through conversational interactions. Integrates with Cursor's Composer and Codeium's Cascade for enhanced productivity.
Mcp Databricks Server
→Execute SQL queries against Databricks, retrieve data, list available schemas, and describe table structures to enhance data operations. Integrates effectively with Agent mode for performing complex task automation.
Mcp Postgres Query Server
→Provides a secure, read-only interface for executing validated SQL SELECT queries on a PostgreSQL database and returns structured JSON responses. Ensures safe data access with query timeout protection and seamless integration with MCP clients like Claude Desktop.
Mssql_mcp_server
→Enables secure interaction with Microsoft SQL Server databases, allowing users to list tables, read data, and execute SQL queries through a controlled interface. Provides structured access for database exploration and analysis.
Lancedb_mcp
→Manage and search vector embeddings efficiently with capabilities for creating vector tables, adding data, and performing similarity searches. Supports the storage of embeddings along with associated metadata.