napi - Better Software Architecture for the AI Age
 # napi - Better Software Architecture for the AI Age `napi` is a fully offline CLI that analyzes your codebase's architecture --…
Find MCP servers that connect AI assistants to useful tools and data. Explore what each server does, its setup and its documentation.
2827 servers · Page 169 of 236
 # napi - Better Software Architecture for the AI Age `napi` is a fully offline CLI that analyzes your codebase's architecture --…
# Xero MCP Server This is a Model Context Protocol (MCP) server implementation for Xero. It provides a bridge between the MCP protocol and…
# CTX: Your AI Coding Companion > MCP-powered development toolkit that gives AI full access to your codebase  ## What is…
# SEC EDGAR MCP MCP server for accessing SEC EDGAR filings. Connects AI assistants to company filings, financial statements, and insider trading data with…
An MCP server that checks whether Perplexity cites your domain when it answers a prompt. Free, with no key: 5 checks per caller per…
Shared memory MCP server and plugin for Claude Code, Codex, Gemini CLI, Hermes. Cited, editable.
# mcp-server-macos-use Official website: https://macos-use.dev/ Model Context Protocol (MCP) server in Swift. It allows controlling macOS applications by leveraging the accessibility APIs, primarily through…
# Apple Shortcuts MCP Server 🤖 A Model Context Protocol (MCP) server that lets AI assistants like Claude control Apple Shortcuts automations. This enables…
Is it down? Live status and outages of 259 cloud, AI and developer providers (GitHub, AWS, OpenAI, Stripe and more), read from their official…
Edit videos you already shot with plain words and reference photos. Framing and audio stay.
# Microsoft Copilot Studio ❤️ MCP This lab has been moved to [here](https://aka.ms/mcsmcplab).
Diagrams, Photo labeling and explanations directly in Claude Chat
An MCP server exposes tools or data through the Model Context Protocol so a compatible AI client can use them. Each project has its own installation, authentication and permission requirements.
Open a server’s page for its getting-started notes, compatibility and sources, then follow the original project’s documentation for your AI client.
Entries link to the original documentation. Check access requirements, costs and maintenance there before installing, and grant a server only the access it needs.