Databases MCP Repositories

Enable structured querying and management of MongoDB collections through a standardized protocol interface, allowing users to list collections, retrieve documents with filtering and projections, and manage data operations securely with logging and error handling.

Enables secure interaction with MySQL databases by listing available tables, reading data, and executing SQL queries through a structured interface. Provides mechanisms for safe database access, comprehensive logging, and error handling.

Interact with PostgreSQL databases through a secure, read-only interface to query data and inspect database schemas.

Integrate with Xano databases through a simple API for querying and manipulating database structures and records. Supports local deployment for AI assistants and features comprehensive logging for troubleshooting.

Access a comprehensive car database to search for cars based on specific criteria, retrieve detailed information about individual vehicles, and receive tailored recommendations based on user preferences.

A comprehensive solution for managing homestay bookings, including guest check-ins, reservation tracking, and a user-friendly interface for both guests and administrators.

PostgreSQL database integration with schema inspection and query capabilities

Provides read-only access to SQLite databases through the Model Context Protocol (MCP), allowing for querying and data exploration with built-in safety features and query validation.

Provides read-only access to MySQL databases, enabling execution of SQL queries and inspection of database schemas securely. Facilitates streamlined data access for enhanced application insights.

Provides basic database querying capabilities through the Apache Superset REST API, enabling execution of SQL commands and retrieval of data from various database sources.

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.

Facilitates access to Oracle databases through a Model Context Protocol server, enabling efficient and secure querying and interaction with Oracle data for AI applications. Simplifies integration of Oracle data into AI workflows with minimal configuration.

Facilitates the creation and connection of LLM applications by providing a standardized method to expose tools, data, and prompts for interactions. It supports data management and relationship mappings within a graph database environment.

Explore and analyze RDF data with a conversational interface, enabling execution of SPARQL queries in both local and endpoint modes for insights from knowledge graphs.

Execute SQL queries and manage databases, including interaction with Kafka topics and Iceberg tables. Offers a user-friendly interface and robust backend capabilities for efficient data workflows.

Connects to a CockroachDB instance to execute SQL queries and access database schemas and cluster metadata for enhanced data analysis. Provides tools for query optimization and execution plan analysis.

An MCP Server to connect to your Weaviate collections as a knowledge base as well as using Weaviate as a chat memory store.

Facilitates interaction with self-hosted Supabase instances by enabling database management, schema introspection, user authentication, and real-time data handling from development environments.

Facilitates the development of AI tools that interact with databases, handling complexities like connection pooling and authentication. Includes observability features to enhance performance and security during data access.

Integrate a Supabase database with the Windsurf Editor, providing real-time query validation and optimized response formatting for UI components. The server improves error handling and SQL query processing for better interaction experiences.

Access Azure Data Explorer clusters and databases through standardized MCP interfaces to execute KQL queries and explore data resources. Features include querying capabilities, resource discovery, and support for authentication.

Interact with PostgreSQL databases through a standardized interface, enabling the execution of SQL queries, schema listing, and table structure descriptions. Provides capabilities for detailing table constraints and foreign key information to effectively leverage database data.

Your AI Assistant's Gateway to Google Sheets! 25 powerful tools for seamless Google Sheets automation via MCP.

Document and analyze safety challenges related to LLMs, track vulnerabilities, and facilitate structured analysis of interactions with AI systems.

Connect applications to a powerful graph database using Apache AGE, enabling relationship and pattern analysis in data. Support for dynamic data manipulation is provided through write operations.

Provides access to ODBC data sources for executing SQL queries and interacting with databases through a standardized interface. Facilitates seamless database management and data retrieval for AI models using ODBC-compatible drivers.

Connects AI agents to multiple PostgreSQL databases for secure read and write operations, schema inspection, and transaction management with detailed logging and progress reporting.

Query and explore Microsoft SQL Server databases using natural language, enabling users to view table structures and execute read-only SQL queries effortlessly. Provides a safe and user-friendly interface for AI assistants to interact with databases without coding experience.

Query AWS DynamoDB databases using natural language requests, facilitating data retrieval and management through a straightforward interface. Integrate easily with LLMs to enhance data interactions.

Connect to Airtable to perform operations such as querying, creating, updating, and deleting records using natural language. Supports base management, table operations, schema manipulation, record filtering, and data migration through a standardized MCP interface.