Databases

A Model Context Protocol server that enables interaction with PostgreSQL databases to list tables, retrieve schemas, and execute read-only SQL queries.

Enables storage and retrieval of knowledge in a graph database format, allowing users to create, update, search, and delete entities and relationships in a Neo4j-powered knowledge graph through natural language.

An MCP server that enables natural language querying of Supabase PostgreSQL databases using Claude 3.7, allowing users to inspect schemas, execute SQL, manage migrations, and convert natural language to SQL queries.

A demonstration server showing MCP implementation in Python with resource handling, tool operations, and reusable prompts for a simple user/post system with local database.

Enables searching for drugs and exploring ontology terms in the Cortellis database, providing access to comprehensive drug development status information with structured JSON responses.

A Model Context Protocol server that enables database interaction with Clickzetta, allowing users to run SQL queries, manage tables, and maintain a dynamically updated memo of data insights.

A secure MCP server that provides controlled ShellJS access for LLMs, enabling AI systems to safely execute shell commands and interact with the filesystem within a configurable security sandbox.

A tool that provides simple API to execute SQL queries and manage MySQL databases, designed to integrate with Cursor IDE for AI assistants to directly perform database operations.

A Model Context Protocol (MCP) server that enables LLMs to interact directly with MongoDB databases, allowing them to query collections, inspect schemas, and manage data seamlessly through natural language.

A multi-functional computing platform server designed to integrate with large language models like Qwen, providing file access, database connections, API integration, and vector database functionality.

Enables AI assistants to interact with Metabase, providing access to dashboards, questions, databases, and tools for executing queries and viewing data through natural language.

An MCP server that provides access to Talent AI profiles and styling capabilities for dynamic UI component styling, connecting to PostgreSQL to serve detailed talent profiles with aesthetic characteristics and design attributes.

A TypeScript implementation of the Model Context Protocol server for Pica that enables Claude Desktop users to interact with connected platforms like Gmail, Google Sheets, Slack, and databases through natural language commands.

An easy-to-use bridge that lets AI assistants like Claude and Cursor IDE directly query and explore Microsoft SQL Server databases. No coding experience required!

Enables AI assistants to manage Xano databases through the Model Context Protocol, allowing users to create, modify, and delete tables, edit schemas, and extract API documentation.

A comprehensive learning platform for Model Context Protocol development that teaches MCP concepts through hands-on modules including text processing, file operations, and database integration. Designed as an educational tool with progressive difficulty levels from basic to advanced MCP server development.

A bridge between Claude AI and Notion that enables users to interact with Notion databases and pages through natural language, supporting operations like creating, reading, updating, and deleting content.

An MCP plugin that provides access to NCBI's dbSNP database, allowing developers to retrieve genetic variant information, search for SNPs, and access clinical significance data directly in their development environment.

Connects to CockroachDB instances and exposes database structures as resources, enabling SQL query execution and analysis through Claude's interface.

A Model Context Protocol server optimized for integrating Supabase with the Windsurf Editor, providing database interactions through natural language with enhanced error handling and response formatting.

A template for creating Model Context Protocol (MCP) servers in TypeScript, offering features like container-based dependency injection, a service-based architecture, and integration with the LLM CLI for architectural design feedback through natural language.

Provides memory/knowledge graph storage capabilities using Supabase, enabling multiple Claude instances to safely share and maintain a knowledge graph with features like entity storage, concurrent access safety, and full text search.

An MCP server utilizing Supabase to provide memory and knowledge graph storage, enabling multiple Claude instances to share and manage data with database-level locking for safe concurrent access.

Enables LLMs to perform semantic search and document management using ChromaDB, supporting natural language queries with intuitive similarity metrics for retrieval augmented generation applications.

Enables AI-powered document analysis and querying for project documentation using vector embeddings stored in Redis. Supports document upload, context-aware Q\&A, automatic test case generation, and requirements traceability through OpenAI integration.

Enables AI assistants like Claude to interact with Databricks workspaces through custom prompts and tools. Supports running SQL queries, managing clusters, creating jobs, and accessing workspace resources via the Databricks SDK.

A Model Context Protocol server that provides a standardized interface for interacting with SQL databases through the MCP protocol.

Enables AI assistants to manage MySQL databases through natural language commands. Supports database operations, table management, data queries, and import/export functionality with built-in security features.

Enables AI models to access external services including weather data, file system operations, and SQLite database interactions through a standardized JSON-RPC interface. Features production-ready architecture with security, rate limiting, and comprehensive error handling.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication. Supports custom prompts, tools for cluster management, SQL execution, and job operations via the Databricks SDK.