An MCP server that helps AI assistants generate valid, accessible Adaptive Cards for Teams, Outlook, Copilot, and other Microsoft and non-microsoft surfaces. 9 tools, 3 guided workflows, 924 tests to help you build an awesome AI experience.
Enables agents to create and edit Figma text using fonts installed locally on the user's computer, without uploading font files, through a local MCP bridge and companion Figma Desktop plugin.
A production-ready development scaffold for MCP servers, optimized for Cursor IDE with built-in tools, resources, and prompts that enables quick development of Model Context Protocol servers with 5-minute startup and 10-minute development capabilities.
Enables users to generate professional Chinese resume PDFs from JSON data with built-in font support and customizable section ordering. It automatically handles layout, generates clickable links, and uploads the final document to a public URL for easy sharing.
Enables an agent to take a public GitHub repository for an MCP server and get it listed across every MCP directory, by reading the repo to draft a listing, publishing to the official registry, opening pull requests on awesome lists and catalogs from the user's own account, and preparing web forms. It also checks existing listings and re-syncs or flags them when a new version ships.
Enables AI assistants to access locally installed fonts and control Figma text through a local bridge, including listing, auditing, replacing, and setting fonts on text nodes.
Enables AI agents on Windows to drive real Microsoft Word and WPS Office applications through COM, automating legacy .doc/.docx batch conversion, bookmark and placeholder template filling, print-fidelity PDF export, extraction from legacy binaries, editing of documents currently open on screen, and mail-merge batch generation. It hardens these operations with CJK font preservation, password and corruption pre-checks, structured self-correcting errors, path allowlisting, read-only mode, and automatic Word-to-WPS failover.
An MCP server that connects AI assistants to the ZONT heating system via the official REST API. It enables users to monitor device states, control heating modes, and perform diagnostics using natural language.