Why this server?
This server provides isolated Docker environments for code execution, enabling users to create and manage containers, execute multi-language code, save and reproduce development environments, ensuring security and isolation.
Why this server?
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.
Why this server?
A TypeScript-based template for building Model Context Protocol servers, featuring fast testing, automated version management, and a clean structure for MCP tool implementations.
Why this server?
A production-ready template for building Model Context Protocol servers in TypeScript, offering fast development with Bun, Biome linting, and automated version management.
Why this server?
A simple template for creating custom tools for Cursor IDE using Model Context Protocol, deployable via Heroku, Docker, or directly within Cursor IDE.
Why this server?
This server provides a minimal template for creating AI assistant tools using the ModelContextProtocol, featuring a simple 'hello world' tool example and development setups for building custom MCP tools.
Why this server?
Server for using [Dify](https://github.com/langgenius/dify). It achieves the invocation of the Dify workflow by calling the tools of MCP.
Why this server?
Enables LLMs to interact with Dify AI's chat completion API, including conversation context support and a restaurant recommendation tool.
Why this server?
Enables the conversion of Dify applications into Model Context Protocol tools, supporting streaming responses and configured via YAML.