Agent Plugins: The USB-C of AI Skills?

Guesty MCP Server is an open-source Model Context Protocol server that connects AI clients to Guesty property-management accounts. It exposes tools for reservations, listings, guests, calendars, financial reports, operations, reviews, messaging, pricing, tasks, webhooks, IoT, and property-health workflows, letting Claude, ChatGPT, Copilot, Cline, and other MCP-compatible clients answer questions or perform property-management actions from structured Guesty data. The project is useful for short-term-rental operators, property managers, automation builders, and agencies that manage Guesty portfolios and want AI assistants inside operational workflows. It launched on Show HN as the first MCP server for Guesty, and the npm registry plus official GitHub repo verify installability, README details, MIT licensing, and production use on real rentals.

Kagi Session2API MCP is an open-source MCP server that lets AI assistants access Kagi Search and Summarizer through existing session tokens rather than a separate API key. It is aimed at Claude Desktop, Cursor, Windsurf, Hermes, and other MCP-client users who want high-quality web search available directly inside agent workflows. The project is useful for research assistants, coding agents, and personal automation setups where search and summarization need to be called as tools. Its appeal is pragmatic: it bridges a paid search product into the model-context ecosystem with local configuration and no heavyweight platform. It is notable now because recent GitHub MCP searches showed strong early interest and stars for a very specific agent-tooling gap.

OpenDocsWork MCP is a Rust-native Model Context Protocol server that enables AI assistants to read, write, and process Microsoft Office documents including Excel spreadsheets, Word documents, and PowerPoint presentations. It exposes structured tool calls that MCP-compatible hosts like Claude, Cursor, and other AI clients can invoke to create reports, fill templates, extract data from spreadsheets, and generate presentations without manual copy-paste workflows. The server runs locally with sub-millisecond response times, keeping sensitive documents on-device. It targets developers building document-heavy automation, enterprise teams processing reports, and anyone who needs AI agents to interact with Office formats natively. With 102 GitHub stars, GPL-3.0 licensing, and active development, OpenDocsWork MCP fills a practical gap in the MCP ecosystem where most servers focus on web APIs rather than desktop document formats.