drop

drop

Publishes HTML pages straight from your AI assistant to a shareable URL, then lets you manage them - update, list, search, fetch, and delete pages in a public or private workspace. Turns "share what I just made" into a single tool call from Claude, Cursor, or any MCP client.

Category
访问服务器

README

<p align="center"> <a href="https://drop.neuronik.io"> <img src="https://drop.neuronik.io/og.png" alt="drop — your AI writes the page, drop gives it a link" width="640"> </a> </p>

<h1 align="center">drop</h1>

<p align="center"> <strong>Publish web pages straight from your AI assistant — and share them with a link.</strong><br> <a href="https://drop.neuronik.io">drop.neuronik.io</a> · MCP-native · works with Claude, Cursor & any MCP client </p>


Your AI assistant writes great HTML — reports, dashboards, prototypes, docs. drop is a remote MCP server that publishes it as a real, hosted web page the moment you say "drop this". No copy-paste, no hosting setup, no redeploys on edits.

This repo is drop's public home: setup instructions, the drop-upload CLI source, and the issue tracker for feedback and bug reports. (The drop cloud service itself is not open source.)

Quick start

  1. Sign in at drop.neuronik.io — Google or email magic link. You get a workspace; teammates on the same email domain share one.

  2. Connect your assistant to the MCP server:

    https://drop.neuronik.io/mcp
    

    <details><summary><strong>Claude Code</strong></summary>

    claude mcp add --transport http drop https://drop.neuronik.io/mcp
    

    Then run /mcp, select drop, and complete the browser sign-in. </details>

    <details><summary><strong>Claude Desktop / Claude.ai</strong></summary>

    Settings → ConnectorsAdd custom connector → paste the URL → Connect → sign in with Google. </details>

    <details><summary><strong>Cursor</strong></summary>

    Settings → MCPAdd new MCP server, or use:

    {
      "mcpServers": {
        "drop": { "command": "npx", "args": ["mcp-remote", "https://drop.neuronik.io/mcp"] }
      }
    }
    

    </details>

    <details><summary><strong>Any other MCP client</strong></summary>

    Native remote MCP: use the URL directly (streamable HTTP, OAuth). Otherwise: npx mcp-remote https://drop.neuronik.io/mcp. </details>

  3. Say "drop this" — your assistant publishes the page and hands you back a URL.

What your assistant can do

Tool What it does
publish_page Publish a full HTML page, get a shareable URL
update_page Edit a page in place — same URL, refreshed preview
list_pages List the workspace's pages
get_page Fetch a page's HTML + metadata before editing
delete_page Delete a page

Pages can be public (anyone with the link, with proper Open Graph previews on Discord/Slack/WhatsApp/X) or private (signed-in workspace members only, encrypted at rest).

drop-upload CLI

A remote MCP server can't read files on your machine. @neuronik/drop-upload (source) is the tiny local helper that bridges the gap — upload a screenshot, PDF or any file and get back an HTTPS URL your assistant can embed in a page:

npx @neuronik/drop-upload@latest ./screenshot.png
npx @neuronik/drop-upload@latest --clipboard   # macOS: whatever image is on the clipboard

One-time setup: generate an upload token in drop under Connect assistant, then npx @neuronik/drop-upload@latest login --token <token>. Full docs in cli/README.md.

Feedback

Found a bug, want a feature, or built something cool with drop? Open an issue — we read everything.

License

The contents of this repository (CLI + docs) are MIT. The drop cloud service is © Neuronik.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选