Databases MCP Repositories

Integrate with Notion workspaces to manage content through LLMs, enabling functionality such as searching, creating, and updating pages and databases. Query and update database entries to streamline workflow and enhance productivity.

Interacts with the Xano API to manage database operations, providing tools for secure authentication, workspace management, and table content operations. Supports type-safe API interactions using TypeScript and offers improved error handling with detailed messages.

Open-source MCP server for Snowflake from official Snowflake-Labs supports prompting Cortex Agents, querying structured & unstructured data, object management, SQL execution, semantic view querying, and more. RBAC, fine-grained CRUD controls, and all authentication methods supported.

Connects AI assistants to StarRocks databases for executing SQL queries and exploring database schemas with ease. Provides capabilities for data visualization and detailed data overview retrieval without complex setups.

Facilitate secure interaction with OceanBase databases via a Model Context Protocol server, enabling listing of tables, reading data, and executing SQL queries in a structured manner.

Connects directly to a CockroachDB database to execute SQL queries and retrieve table structures, while managing connections for stability and providing detailed logging for troubleshooting.

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 integration with Teradata databases, facilitating execution of SQL queries, database management, and interactive exploration of database objects. Supports standard input/output and server-sent events for communication with AI agents and tools.

Access and query multiple databases using the Legion Query Runner, allowing seamless execution of SQL queries, schema retrieval, and query optimization via a unified API.

Integrate ClickHouse databases with Large Language Models and AI applications, enabling users to list databases, retrieve table schemas, and execute SQL queries efficiently.

Query the dbt Semantic Layer API to seamlessly access and utilize defined business metrics across various data tools. Provides a unified approach to metric definitions and simplifies data querying for team members.

Connect to and manipulate a local MySQL database through a RESTful API, supporting parameterized queries to enhance security. Includes real-time data push capabilities via Server-Sent Events.

Efficiently interacts with JSON files by splitting, merging, and validating data based on specified conditions. Designed for seamless integration with language models to automate JSON data manipulation within development environments.

Provides comprehensive integration with your [VictoriaLogs instance APIs](https://docs.victoriametrics.com/victorialogs/querying/#http-api) and [documentation](https://docs.victoriametrics.com/victorialogs/) for working with logs, investigating and debugging tasks related to your VictoriaLogs instances.

Enables natural language queries to MySQL and PostgreSQL databases using advanced text-to-SQL techniques. Supports both cloud and local operating modes for seamless database interaction and data retrieval.

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

Zero burden Model Context Protocol (MCP) server designed for CRUD operations on MySQL databases and tables. Supports a read-only mode and the option to check query plans with an `EXPLAIN` statement before execution.

Perform seamless CRUD operations on a PostgreSQL database with type safety, allowing efficient management of user data and post entities. Utilize a robust MCP-compatible tool interface for reliable database interactions.

Run distributed SQL queries on large datasets across various sources, enabling efficient data analysis and big data analytics.

Retrieve and manage database schemas from a MariaDB instance while executing read-only queries. Simplifies database interactions with a standardized protocol for seamless data access.

Connect to Supabase to efficiently query and manage feature suggestions. Retrieve user feedback and feature requests directly from a Supabase database in real-time.

Manage and query Apache Iceberg tables using a SQL interface. Facilitate data operations and management directly from Claude Desktop for seamless interaction with Iceberg data lakes.

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

Facilitates integration with Trino and Iceberg for data exploration and querying. Automates table maintenance and optimizes data workflows.

Manage Supabase databases, execute SQL queries, handle schema changes, and utilize the Supabase Management API and Auth Admin SDK with built-in safety controls.

Supabase MCP Server with support for SQL query execution and database exploration tools

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.

Facilitates communication between AI Agents and Hologres databases, enabling retrieval of database metadata and execution of SQL operations.

Integrate with Alibaba Cloud RDS services to manage and query relational database instances, enabling operations like instance creation, performance data retrieval, and configuration modification through a standardized MCP interface.

MCP service for Tablestore, features include adding documents, semantic search for documents based on vectors and scalars, RAG-friendly, and serverless.