MCP server for controlling Honeywell Total Connect Comfort thermostats, enabling remote management of multiple thermostats through Claude interfaces. It provides tools for monitoring temperatures, adjusting setpoints, and changing system modes for thermostat control.
A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.
A unified AI and automation command center that allows users to interact with multiple AI providers (OpenAI, Anthropic, Gemini) and services (GitHub, Google) through natural language commands and multi-step workflows.
MCP Hub - Central coordinator for MCP servers with REST API and real-time events
A local vision-language MCP server that enables Claude Code to perform image analysis, OCR, and UI-to-code generation using the Qwen3 VL 4B model via LM Studio. It provides privacy-focused visual processing by running entirely on the user's local hardware without external API dependencies.
An SSH MCP server that enables users to connect to and manage remote servers directly from Claude Code. It provides tools to execute commands, monitor connection status, and dynamically manage server configurations through natural language.
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MCP server for Apple Calendar using compiled Swift to bypass macOS Sequoia TCC restrictions
Enables client-to-client communication between IDEs and development tools, allowing real-time collaboration across Cursor, VS Code, Windsurf, and other editors through bidirectional messaging and AI agent coordination.
A stateless MCP server that enables real-time, bidirectional messaging and collaboration between different IDEs and AI agents. It facilitates client-to-client communication, allowing tools like Cursor, VS Code, and Windsurf to coordinate workflows and share information seamlessly.
Automatically generates and runs MCP servers by scraping API documentation and using Gemini to extract endpoints and configuration. It enables users to interact with any REST API through MCP-compatible clients by simply providing a documentation URL.
Provides instant access to MCP development documentation, best practices, production checklists, common mistakes, architecture patterns, and testing strategies to help developers build production-ready MCP servers.
Turns any OpenAPI specification into a fully working MCP server with a single command, enabling AI agents to call APIs without writing any glue code.
A powerful gateway for the Model Context Protocol (MCP) that unifies AI toolchains by federating multiple MCP servers, wrapping REST APIs as MCP tools, and supporting multiple transport methods with an admin dashboard.
Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
Create a new MCP server in TypeScript, batteries included.
Enables LLMs to inspect and test other MCP servers by listing and calling their tools, reading resources, and getting prompts. Supports stdio, SSE, and HTTP transports for both local and remote MCP server inspection.
Provides programmatic access to MCP server testing, debugging, and validation capabilities by wrapping the official MCP Inspector. Enables users to test tools, validate protocol compliance, discover server capabilities, and debug MCP servers through natural language interactions.
The .NET visual testing tool for MCP servers
A basic MCP server template that provides a foundation for building custom tools, resources, and prompts. Serves as a starting point for developers to create their own MCP server functionality.
