Databases MCP Repositories

A Model Context Protocol server for managing, monitoring, and querying data in [CockroachDB](https://cockroachlabs.com).

Provides access to Microsoft SQL Server databases through a standardized Model Context Protocol interface, enabling inspection of table schemas and execution of SQL queries.

Creates secure APIs for structured data using the Model Context Protocol, allowing seamless integration with AI agents and ensuring compliance and performance. Automates the generation of APIs and enhances AI applications with built-in security features.

Enables interaction with PostgreSQL databases through executing read-only SQL queries and inspecting database schemas. Provides structured data access while maintaining data integrity with read-only transactions.

Manage serverless databases via a REST API, enabling the creation, listing, and execution of queries. Integrate with GitHub for version control and utilize Smithery.ai for deployment management.

Facilitates access to Oracle databases through a Model Context Protocol server, enabling efficient and secure querying and interaction with Oracle data for AI applications. Simplifies integration of Oracle data into AI workflows with minimal configuration.

Interact with PostgreSQL databases, execute queries, manage connections, and retrieve data through a standardized interface for AI model integration.

Enable secure interaction with IoTDB databases to run SQL queries and explore database schemas through a structured interface.

Interact with Appwrite's API to manage databases, users, functions, teams, and other project resources efficiently.

Enables secure interaction with MySQL databases by listing available tables, reading data, and executing SQL queries through a structured interface. Provides mechanisms for safe database access, comprehensive logging, and error handling.

Connect to MySQL databases for secure read-only queries and database exploration. Perform operations like listing databases and tables, retrieving schemas, and executing read-only SQL commands while ensuring built-in validation to prevent unsafe actions.

Connect securely to MySQL databases and perform read-only queries. Retrieve detailed schema information and list databases and tables with built-in validation for safe operations.

Directly interact with MySQL databases through a standardized MCP interface to perform operations such as connecting, querying, modifying tables, and listing schema details. Streamlines database management and integration within LLM applications.

Connect and execute queries on a MySQL database using the MCP protocol for efficient interaction. Provides a standardized API for seamless database operations.

Enables natural language querying of databases through the BlazeSQL API, transforming plain English queries into SQL and JSON results. Facilitates seamless integration with MCP-compatible clients for enhanced data interaction.

Enables natural language interaction with Elasticsearch and OpenSearch clusters for managing indices, documents, aliases, and cluster health. Facilitates searches, document creation or deletion, and retrieval of cluster statistics through natural language commands.

Manage and search data in Redis using natural language queries, enabling efficient data operations like caching, indexing, and real-time event processing for AI applications.

Manage legal client records, case files, time tracking, and invoicing with specialized tools tailored for law firms. Streamline legal billing workflows and enforce business rules for accurate invoice generation. Enhance your law office operations with a dedicated SQLite database interface.

Connects to Elasticsearch data, enabling users to manage indices, conduct searches, and handle mappings through natural language interactions.

Manage personnel leave requests with functionalities for viewing leave history, submitting new leave requests, and calculating remaining leave days, all integrated with an SQLite database.

Bridge AI models with the Steampipe tool to enable seamless execution of SQL queries on various data sources. Retrieve structured results and simplify data access for AI-driven insights within workflows.

Provides read-only access to MySQL databases, enabling inspection of database schemas and execution of read-only SQL queries.

MySQL database integration in NodeJS with configurable access controls and schema inspection

Integrate AI assistants with Metabase to access dashboards, questions, and databases. Execute queries and retrieve structured data for enhanced data-driven decision-making.

Enables querying and manipulation of ontology data through GraphDB's SPARQL endpoint while integrating various AI models like Ollama, OpenAI, and Google Gemini. Facilitates executing SPARQL queries, completing AI model tasks, and performing HTTP requests via a unified interface.

Facilitates secure interaction with MySQL databases for AI applications, enabling structured communication for tasks such as listing tables, reading data, and executing SQL queries. Enhances database exploration and analysis through a controlled interface.

Baserow database integration with table search, list, and row create, read, update, and delete capabilities.

Enables interaction with Clickhouse databases, allowing query execution and secure database connections in a read-only mode. Supports multi-query execution and provides JSON format results.

Enables interaction with MySQL databases, allowing secure connections, execution of queries, and support for read-only mode and multiple queries.

Connects to various databases and executes read-only SQL queries with safety checks, providing a unified interface for database management.