A Model Context Protocol server that provides AI models with structured access to external data and services, acting as a bridge between AI assistants and applications, databases, and APIs in a standardized, secure way.
An enterprise-grade MCP server that enables AI coding assistants to securely connect with external tools, APIs, databases, and cloud services through a unified interface, offering structured engineering workflows and multi-client support.
An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
A Model Context Protocol server that provides AI assistants with comprehensive access to SQL databases, enabling schema inspection, query execution, and database operations with enterprise-grade security.
This is a powerful Model Context Protocol (MCP) server that integrates multiple AI coding agents—Anthropic Claude Code, OpenAI Codex, and Google Gemini—directly into your workflow. It enables seamless cross-provider analysis, leveraging Gemini's massive token window, Codex's specialized coding capabilities, and Claude's advanced reasoning.
A unified Model Context Protocol server that provides a consistent interface for AI assistants to interact with productivity tools like Linear, GitHub, Slack, and Notion. It enables users to search, retrieve, and manage tasks and data across multiple workplace services from a single endpoint.
