Databases MCP Repositories

The Supabase MCP Server connects your Supabase projects with AI assistants, allowing them to manage databases, query data, and handle project configurations easily.

This server provides a connection to the Dameng 8 database using the Model Context Protocol (MCP), allowing users to easily access and integrate database content for more efficient data utilization.

The MySQL MCP Server allows users to connect to MySQL databases safely and execute read-only queries. It retrieves database structure and data in JSON format, making it easier for applications to access live data without modifying it.

The MongoDB MCP Server connects AI models to MongoDB databases, allowing users to query data, view database structures, and manage information using natural language commands.

Enables read-only queries on TDengine databases, allowing AI assistants to execute SELECT, SHOW, and DESCRIBE queries to retrieve metadata without altering data. Facilitates integration of TDengine data access within AI tools for data exploration and analysis.

Provides access to Aiven services such as PostgreSQL, Kafka, ClickHouse, and OpenSearch, enabling integration with LLMs for building full stack solutions. Facilitates management and interaction with Aiven projects and services.

Facilitates interaction with Couchbase databases on Capella clusters through natural language, enabling CRUD operations, N1QL query execution, and data management.

Handles SQL query execution, database management, API access, and user authentication with integrated safety controls.

Update databases by importing data from CSV and Excel files, with capabilities for managing documentation through built-in note-taking features. Supports PostgreSQL, MySQL, MongoDB, and SQLite for flexible database type management.

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

Integrate seamlessly with Azure services for querying, exploring, and managing resources using natural language commands. Offers intelligent parameter suggestions and consistent error handling to streamline Azure operations.

Enables natural language querying of live ADP data via a read-only MCP interface, integrating ADP data into AI clients for real-time insights and data retrieval. Utilizes CData's JDBC driver technology to provide access to complex data sources without requiring SQL knowledge.

Enables natural language querying of live Amazon Redshift data without the need for SQL, facilitating seamless data retrieval from Redshift through a simple MCP interface. Connects LLM-powered clients to query and explore Redshift data with built-in tools for schemas and execution.

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.

Query and manage cloud-connected data sources using SQL, perform metadata introspection, and execute stored procedures. Integrates with AI workflows to support data-driven decision making.

Connects LLMs to live Databricks data through a read-only MCP interface, facilitating natural language querying without the need for SQL. It enables seamless retrieval of up-to-date information using exposed tables and columns from Databricks via the CData JDBC Driver.

Enables natural language querying of live Dynamics 365 data through an MCP interface, facilitating read-only access to data without requiring SQL knowledge. Utilizes the CData JDBC Driver to provide a simple way for LLMs to retrieve up-to-date insights from Dynamics 365.

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.

Enables natural language querying of live Google BigQuery data, facilitating access to datasets without requiring SQL knowledge. Integrates real-time data insights with AI clients through a simple interface.

Enables natural language querying of live HubSpot data via a read-only MCP interface without requiring SQL knowledge. Utilizes the CData JDBC Driver to access and retrieve real-time HubSpot information for LLMs.

Provides a read-only interface for querying live Intacct data using natural language, enabling seamless integration with large language models (LLMs) to access up-to-date financial and operational information.

Connects to live Jira data using a read-only Model Context Protocol interface, enabling natural language queries to retrieve current information without SQL knowledge.

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.

Connect to MySQL databases to perform natural language queries, retrieve table and column metadata, and execute SQL SELECT queries through a simple MCP interface. Designed for LLM clients to access live MySQL data seamlessly.

Enables natural language querying of live NetSuite data via a read-only MCP interface, utilizing the CData JDBC Driver to expose NetSuite data as relational SQL models.

Connects LLMs to PostgreSQL databases for natural language querying of live data without requiring SQL. Provides a read-only interface for retrieving insights from PostgreSQL databases using the CData JDBC Driver.

Provides a read-only interface for querying live QuickBooks Online data using natural language, facilitating seamless integration with AI clients for real-time financial insights.

Enables natural language querying of live Snowflake data through a read-only MCP interface, simplifying data exploration and analysis without the need for SQL. Integrates directly with LLMs to access and retrieve real-time data from Snowflake using a JDBC driver.

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.

Enables natural language querying of live Workday data through a read-only MCP interface, allowing LLMs to retrieve up-to-date information without needing SQL knowledge. Utilizes the CData JDBC Driver to connect and expose Workday data as relational SQL models.