Databases MCP Repositories

Enable interaction with ERPNext data and functionality, facilitating authentication and document management through a standardized protocol. Allows AI assistants to access, create, update, and retrieve ERPNext documents efficiently.

Enables natural language querying of live data from Excel Online through a Model Context Protocol (MCP) interface, facilitating integration of Excel data into AI workflows. Provides read-only access to Excel Online data via a JDBC driver without requiring SQL knowledge.

Provides intelligent access to PowerPlatform/Dataverse entities, enabling metadata exploration, advanced OData query support, and relationship visualization. Facilitates AI-assisted query building and data modeling, enhancing the development experience with context-aware prompts and insights.

Seamlessly interact with Supabase to perform CRUD operations on Postgres tables, optimizing database management tasks and enabling real-time data access for applications.

Interact with databases using natural language queries, enabling the creation, updating, and deletion of tables. Manage real-time data insights through subscribed data shares.

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

Production-ready MCP server for libSQL databases with comprehensive security and management tools.

Provides secure, read-only SQL query access to an AWS PostgreSQL database through an MCP interface. Facilitates retrieving data safely while preventing modifications to the database.

Enables interaction with MySQL and MongoDB databases via a standardized interface, streamlining database operations with secure connections and robust error handling. Supports both SQL and NoSQL functionalities for seamless application development.

Interact with Redis databases through standardized tools to facilitate communication between LLMs and Redis key-value stores.

Facilitates interaction with MySQL databases through a standardized interface, enabling operations such as querying, inserting, updating, and deleting data.

Access and query MySQL databases to execute read-only SQL queries and inspect database schemas. Facilitate data interactions for LLM applications with secure and optimized access.

Provides capabilities for database interaction, allowing execution of SQL queries, data analysis, and automatic generation of business insight memos.

Enables interaction with SurrealDB databases for querying, manipulating, and managing data through a standardized interface. Facilitates real-time database interactions within AI applications.

Enables interaction with MongoDB databases, facilitating collection schema inspection, document querying, and basic data management through natural language commands. Streamlines operations like document insertion, updating, and deletion.

Queries live data from over 300 sources using CData JDBC Drivers through a Model Context Protocol interface, enabling natural language access without requiring SQL knowledge. It facilitates integration with AI clients to retrieve real-time information from various data sources.

Facilitates communication between AI Agents and Adb MySQL databases, enabling retrieval of database metadata and execution of SQL operations for enhanced data access. Supports real-time interactions with AnalyticDB for MySQL databases via a universal interface.

Offers real-time querying capabilities for MySQL databases with support for data transmission via SSE, designed for seamless high-concurrency database operations and includes robust security measures.

Connects AI models with FalkorDB graph databases to facilitate querying and interaction through the Model Context Protocol. Translates and routes requests to FalkorDB while formatting responses per MCP standards.

Provides access to NebulaGraph 3.x for graph exploration, including schema management, query execution, and shortcut algorithms, compliant with the Model Context Protocol.

Explore and manage Keboola Connection projects, including browsing buckets, tables, and components. Query tables directly, manage configurations, and trigger jobs through integration with AI tools.

Interact with ServiceNow data through a secure API, enabling natural language queries to search, update, and manage records efficiently. Access various resources, including incident reports and user information, directly from the ServiceNow platform.

Enables natural language querying of live Veeva data through a straightforward MCP interface, allowing real-time information retrieval without requiring SQL knowledge. Interfaces with the CData JDBC Driver for easy access to Veeva data models.

Facilitates natural language querying of live Microsoft SQL Server data without requiring SQL code. It provides a read-only MCP interface for AI clients to access and integrate Microsoft SQL Server data using language models like Claude Desktop.

Provides structured access to Trino's distributed SQL query engine, enabling AI models to query and analyze data efficiently. Supports API initialization through Docker and Python, allowing integration with large language models for data insights.

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.

Access Azure Data Explorer clusters to execute queries, list tables, and retrieve schemas. Provide seamless exploration of internal and external data sources.

Access and manage Bear Notes through a Model Context Protocol (MCP) server. Retrieve, search, and list notes and tags stored in a SQLite database.

Interact with Google Firestore to manage documents efficiently. Supports creating, reading, updating, deleting, and querying documents with configurable filters and ordering.

Connect to Trino to list tables, read data, and execute SQL queries. Provides a controlled interface for big data analytics through seamless interaction with AI models.