Databases MCP Repositories

Connects Claude to databases for querying and analysis, facilitating SQL query writing, visualization of table relationships, and report generation.

Interact with Microsoft SQL Server Express to execute queries, manage databases, and create tables. Supports both Windows and SQL Server authentication for seamless database operations.

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.

friendly read-only mysql mcp server for cursor and n8n...

Interact with a SQLite database to search for cars based on various criteria such as make, model, year, color, and price. This system facilitates efficient database queries to help users find the desired vehicle information.

Connect to Apache Doris for efficient data management and querying, enabling seamless interactions with data sources and enhanced application functionality.

Automate schema learning, query validation, and execution for Gel databases using natural language interactions. Integrates with EdgeQL for efficient database management and facilitates seamless connections with LLMs to enhance user interactions.

Interact with datasets, ontology objects, and functions within a Foundry instance, enabling AI assistants to perform dynamic data interactions and intelligent processing.

Store and retrieve vector embeddings in VikingDB, a high-performance vector database. Supports vector similarity searching and information upserting for later retrieval.

Enables interaction with MongoDB databases using natural language commands for querying collections, managing data, and inspecting schemas. Supports a range of document operations including inserting, updating, and deleting records.

Enable interaction with MySQL databases through a standardized interface, facilitating operations such as querying, inserting, updating, and deleting records.

Integrate with StarRocks databases to execute queries, manipulate data, and manage database schemas through a standardized interface. Provides functionality for reading and writing operations including SELECT, INSERT, UPDATE, and DELETE.

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.

Access and interact with SQLite databases from Cursor IDE. Retrieve project data, chat history, and composer information for enhanced data analysis and querying.

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.

Provides a streamlined interface for interacting with the ConnectWise Manage API, enabling easy discovery and execution of API calls with natural language search and categorized navigation. Enhances efficiency through a fast memory system for frequently used queries and raw API access for custom requests.

Provides access to MongoDB databases using natural language, enabling users to perform queries, run aggregations, and optimize database performance.

Manage CouchDB databases and documents through a straightforward interface, facilitating operations like creating, listing, and deleting databases.

Execute SELECT queries on TiDB databases securely and efficiently through a Model Context Protocol server, facilitating integration of TiDB query capabilities into applications with minimal setup.

Interact with a social book cataloging service to fetch user information, search for books, and retrieve detailed book information through its API.

Facilitate navigation and management of MySQL and MariaDB databases via a secure and type-safe MCP server. Execute SQL queries, retrieve schema information, and manage connections efficiently.

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.

Connects to MongoDB databases and MongoDB Atlas for admin tasks and data operations using natural language. Supports over 30 tools for cluster management and database querying with safety controls like read-only mode and tool disabling.

Interact with MySQL databases through the MCP protocol, enabling operations such as creating, reading, updating, and deleting database tables alongside executing custom SQL queries.

Provides database interaction capabilities through ArangoDB, enabling execution of AQL queries and insertion of documents into collections while supporting parameterized queries.

Enables Large Language Models to interact with OpenFGA stores, facilitating reading, searching, and manipulation tasks. Supports fine-grained authorization through agentic AI and vibe coding.

Enable secure interaction with IoTDB databases by executing SQL queries and exploring database schemas. Functionality includes listing tables, describing table schemas, and executing SELECT or metadata queries.

Connects AI models to Typesense collections for efficient data discovery, search, and analysis using advanced search capabilities.

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

Enables querying and manipulation of ontology data through GraphDB's SPARQL endpoint while integrating various AI models like Ollama, OpenAI, and Google Gemini. Facilitates executing SPARQL queries, completing AI model tasks, and performing HTTP requests via a unified interface.