iflow-mcp_modelcontextinterface-mcix

# MCI CLI Tool A command-line interface for managing Model Context Interface (MCI) schemas and dynamically running MCP (Model Context Protocol) servers using defined MCI toolsets. ## Features - Connect existing **MCP servers** with automatic **caching** and easy **filtering** options to make your unique set of tools - Define your custom tools in JSON or YAML using clear, reviewable MCI schema - API: - Connect your n8n, Make and other workflow builders as tools - Convert any REST API Docs to AI tools in minute with LLM - Run remote code with AWS Lambda, judge0, etc. - Authentication, headers, body... Full set of API features are supported - CLI: - Run server based CLI commands as tool from simple "ls" to anything else you can install with apt-get! - Write separated python script and convert in tool in 30 seconds! - Build super fast GoLang binary and run as AI tool - File: - Manage your prompts, generate reports, and provide context with ease - Any file becomes a template: From printing simple variables (`{{ props.message }}`) to blocks like if, for & foreach - Everything you need to create real, dynamic and usable templates - Text: - Simplest way to return dynamic or static text from tool - Supports full templating as File type, but defined inside .mci.json - Ideal for serving dynamic assets (image URLs per user, PDFs, etc) - As well as for generating simple messages - Make **toolset** from your custom tools: easiest way to organize, manage and share your tools! - Everything mentioned above you can use programmatically via [MCI-Adapter](https://github.com/Model-Context-Interface/mci-py) for your language - Or.. Instantly serve them as a unified **STDIO MCP server** via `uvx mcix run` command. - And... Create separate .mci.json files to serve them as different MCP servers for different agents! Reducing token and runtime overhead by providing small, specific context files tailored per agent. Everything…