Databases MCP Repositories

Provides powerful plugins for efficient data mining, enabling users to analyze and uncover insights from raw data. It streamlines data workflows and transforms information into actionable intelligence.

Execute SQL queries, manage database tables, analyze schema, and generate business insights from a MySQL database.

Provides SQL analysis, linting, and dialect conversion using SQLGlot, validating SQL syntax and facilitating conversion between different SQL dialects.

Connect and manipulate Firebird databases using AI, allowing for data analysis and optimization through natural language and SQL commands.

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

Enable interaction with databases via natural language, supporting operations like querying, inserting, and deleting documents. Currently integrates with MongoDB and plans to extend support to additional databases such as PostgreSQL, CockroachDB, and Redis.

Provides operations for interacting with MySQL databases through a standardized interface for AI models.

Manage Amazon DynamoDB resources with functionalities for table creation, indexing, and data operations. Features include table management, capacity management, and data manipulation through CRUD operations.

Connects to a LanceDB database to perform vector similarity searches using custom embedding functions, facilitating enhanced search capabilities and result processing.

High-performance vector search and persistent memory system using libSQL, offering efficient knowledge storage and semantic search capabilities. Supports knowledge graph management and secure token-based authentication for accessing local and remote databases.

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.

Interact with PostgreSQL databases, execute read-only SQL queries, and inspect database schemas to facilitate data-driven applications.

Leverage PostgreSQL databases for executing read-only SQL queries and exploring database schemas. Integrate powerful database capabilities directly into workflows for enhanced application functionality.

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

SQLite database operations with built-in analysis features

This utility facilitates intuitive, natural language control over YugabyteDB (YDB) data stores using the Model Context Protocol (MCP). It allows any compatible Large Language Model to execute sophisticated database actions, such as running Structured Query Language (SQL) statements, examining directory structures, and managing specific data locations within the system.

Access Google BigQuery datasets and execute SQL queries using a simple interface that incorporates Large Language Models. The server manages authentication, handles connection settings, and provides tools for querying and listing datasets and tables.

Generates and executes SQL queries on a Postgres database using OpenAI's GPT models, returning structured JSON responses optimized for chatbot user interfaces. Integrates with frontend applications via a FastAPI REST API, supporting deployment on AWS Lambda or local environments.

Provides read-only access to PostgreSQL databases, enabling inspection of database schemas and execution of read-only SQL queries within a read-only transaction.

An MCP server for generic Database Management System (DBMS) Connectivity via the Open Database Connectivity (ODBC) protocol

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

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.

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 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.

Connects to ODBC-compatible databases for querying, analyzing, and generating insights from data while ensuring read-only access to prevent modifications.

Connects to SQL databases for executing queries, managing data, and accessing user management APIs with built-in safety controls.

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

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.

Store and retrieve memories using a command-line interface with a backend powered by SQLite. Manage important information efficiently in applications with memory functionalities.

MCP server for Apache Kafka and Timeplus. Able to list Kafka topics, poll Kafka messages, save Kafka data locally and query streaming data with SQL via Timeplus