Databases MCP Repositories

Enables secure interaction with OceanBase databases for listing tables, reading data, and executing SQL queries through a structured interface. Provides proper error handling and secure access via environment variables.

Enable database interactions through the execution of SQL queries, the creation of tables, and exploration of schema information for efficient data management.

Fetch and manage vulnerability data for software packages, providing detailed information on CVEs, affected versions, and fixes to improve security measures.

Retrieve and analyze data or run tasks using an in-memory SQLite database for efficient data processing. Supports data interaction through a Developer API with an ETL pipeline for handling data requests and queries.

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.

Interact with Astra DB to perform operations such as creating, updating, and deleting collections and records directly from Large Language Models. Enables seamless data interaction and enhances applications with database capabilities.

Connect to various databases using ODBC and SQLAlchemy, facilitating data management tasks such as retrieving schemas, tables, and executing queries. It enhances database interactions through a lightweight server built with FastAPI.

Connect Supabase projects with AI assistants for managing tables, fetching configurations, and querying data efficiently. Enables seamless integration of AI capabilities directly into application workflows.

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

Connects to Microsoft SQL Server databases and executes SQL queries, providing management tools for database connections.

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.

Enables secure and structured interaction with Microsoft SQL Server databases, allowing users to list tables, read table contents, and execute SQL queries with controlled access.

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.

Scrapes financial data, performs NLP algorithm analysis, and facilitates quantitative strategy backtesting. Integrates various components for automated financial data processing and insights extraction.

Manages SkySQL (MySQL/MariaDB) database instances, executes SQL queries, and interacts with AI-powered database agents. Provides features for managing credentials and monitoring database services.

Controls database access rights using database users, enabling seamless execution of SQL queries on Snowflake databases. Manages database connections and handles query results and errors securely, ensuring robust error handling and automatic connection management.

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

Connects to Supabase databases, enabling database operations, storage management for files and assets, and invocation of edge functions.

Enables access and manipulation of Odoo ERP data through a standardized interface, facilitating tasks such as viewing partner and accounting information, and performing financial reconciliations. It supports secure authentication and integration with Odoo instances for AI agents.

Execute SQL queries against Google BigQuery with validation, ensuring that queries are safe, valid, and constrained to specific processing limits. Retrieve structured JSON results for analytics needs without modifying data.

Utilizes CodeLogic's software dependency data to provide impact assessments for code changes and analyze impacts between code and database entities. Integrates with development environments to improve coding insights and workflows.

Create, manage, and summarize notes using a Supabase backend. This TypeScript-based MCP server offers resources for text notes, tools for creating new notes, and prompts for generating summaries.

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.

Interact with a Neo4j database to run Cypher queries, explore complex data relationships, and generate insights. Enhance data analysis with additional capabilities for business insights generation.

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.

Python Streamable HTTP Server you can run locally to interact with [memvid](https://github.com/Olow304/memvid) storage and semantic search.

Manage and manipulate knowledge graphs with Neo4j, supporting operations for creating, reading, and modifying entities and relationships in graph databases.

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.

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.

Connect and interact with MySQL databases, execute SQL queries, manage database connections, and retrieve data directly through AI models.