原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。使用 Google 登录即可撰写评价。原型 · 每 30 分钟更新
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

ArtifactSmith

作者:vrijsinghani版本 0.1.1i★ 0i在云端运行
注册名称io.github.vrijsinghani/artifactsmith

安装方法

What it does

Turns agent output into versioned web pages, PDFs, Word docs, spreadsheets and Markdown.

  • Connects 在云端运行
  • Account or key Needs Authorization
  • Category 文档、表格与办公

安装

选择你使用的 AI 应用,然后复制设置。

通过 3/4 项检查 · 在你的电脑上运行

我们隐藏了部分命令

通过地址连接:检查时服务器地址没有响应

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器 · 作者的安装说明 · 同类的其他服务器

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

Claude 暂时无法连接 ArtifactSmith

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器

ChatGPT 暂时无法连接 ArtifactSmith

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器

你可以改用这些方式

B · 文档、表格与办公 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

Claude Code 暂时无法连接 ArtifactSmith

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器

Cursor 暂时无法连接 ArtifactSmith

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器

VS Code 暂时无法连接 ArtifactSmith

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器

还没有通过检查的安装方式。请看作者的说明,或选择同类的其他服务器

卡住了?问问正在用 ArtifactSmith 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

需要你填写的值

  • Authorization 机密 必填 HTTP header
    Bearer token from https://artifactsmith.neuralami.ai/try, or from your own install (artifactsmith token add).

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
不在 npm/PyPI 上
连接方式
在云端运行
传输方式
streamable-http
最新版本i
0.1.1
发布到注册中心i
2026年10月17日
代码最后更新i
2026年11月3日
作者
vrijsinghani
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

GooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

我们上次检查时服务器没有响应,所以无法读取它的工具。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月13日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 vrijsinghani 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于10天前

  • ✓ 通过

    有许可证

    使用 MIT

  • ✕ 未通过

    端点有响应

    我们检查时,6 秒内没有响应

  • – 不适用

    使用 OAuth 登录

    我们检查时,6 秒内没有响应

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

与“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 3820 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 3820 个服务器的 54% 更新
  • 基础检查结果等于或优于此分类中其他 3820 个服务器的 48%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

ArtifactSmith 安全吗?

它在 4 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:Authorization

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于10天前,最新版本(0.1.1)于27天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:Puter MCP, XcodeBuildMCP, XcodeBuildMCP

同类别的其他选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Puter MCP

Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more

作者:HeyPuter广泛使用★ 4.4万5个月前更新

在云端运行✓ 服务方 · puter.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

作者:getsentry广泛使用↓ 13万/周 共用包的下载量★ 65644个月前更新

在你的电脑上运行✓ 服务方 · xcodebuildmcp.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

作者:cameroncooke广泛使用↓ 13万/周 共用包的下载量★ 656414个月前更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

ArtifactSmith

ArtifactSmith is an open source artifact server for AI agents.

Examples

Built on the hosted copy from public sources (Ready.gov and the U.S. Bureau of Labor Statistics). The meeting notes are fictional. No sign-up needed to open them.

Agents call it to turn their work into documents: web pages, PDFs, Word files, spreadsheets and Markdown. Each artifact is versioned and stays private until someone shares it, and a shared link can be revoked at any time.

It's for people who run their own agents and want artifacts like the ones in Muse on their own servers.

Try it before you install: https://artifactsmith.neuralami.ai/try. I run a copy you can point your MCP client at. Claude.ai, Claude Desktop, Claude Code and Cursor sign in with OAuth using your email; a pasted token also works. It is capped at 20 builds and runs on my server.

What it does

ArtifactSmith gives agents tools to create, edit, export (PDF, Word, Excel, Markdown), share, and revoke documents. It works with any OpenAI-compatible model endpoint. The idea comes from Meta's Muse artifacts.

Requirements: Docker Engine with the Compose plugin. A model key (OpenAI-compatible API or local endpoint) is needed to build pages; publishing ready-made Markdown or HTML works without one.

Quickstart

Cline follows llms-install.md.

cp .env.example .env

Set OPENAI_API_KEY (or AM_LLM_KEY). Change AM_LLM_BASE / AM_DEFAULT_MODEL

only if you are not using the default OpenAI host and model.

Object-store keys: leave them empty and run ./scripts/ensure-local-env.sh,

or paste your own AM_STORE_KEY and AM_STORE_SECRET.

./scripts/ensure-local-env.sh docker compose up -d --build

Create a token (prints the raw value once; only its hash is stored).

--workspace is a label that scopes every artifact the token can see

(e.g. alpha, team-a). Tokens cannot cross workspaces.

docker compose exec server artifactsmith token add --name agent --workspace alpha

publish stores a page you already wrote and does not call the model, so the next step works when the key is empty. Paste the token printed above, then run this. It prints a share URL.

export AM_TOKEN='paste-the-token'

docker compose exec -T -e AM_TOKEN server python - <<'PY' import asyncio import json import os from datetime import timedelta

from mcp import ClientSession from mcp.client.streamable_http import streamablehttp_client

URL = "http://127.0.0.1:8780/mcp" PAGE = """# Pilot store brief

The pilot store code is HARBOR-17. It is the identifier used on inventory, support, and rollout reports. """

def parse(result): if result.structuredContent is not None: return result.structuredContent return json.loads(result.content[0].text)

async def main(): headers = {"Authorization": "Bearer " + os.environ["AM_TOKEN"]} async with streamablehttp_client(URL, headers=headers) as (read, write, _session): async with ClientSession(read, write) as session: await session.initialize() created = parse( await session.call_tool( "publish", {"display_name": "Pilot store brief", "markdown": PAGE}, read_timeout_seconds=timedelta(seconds=120), ) ) done = parse( await session.call_tool( "status", {"job_id": created["job_id"], "wait": 90}, read_timeout_seconds=timedelta(seconds=120), ) ) if done.get("status") != "done": raise SystemExit(json.dumps(done)) shared = parse( await session.call_tool( "share", {"artifact_id": created["artifact_id"]}, read_timeout_seconds=timedelta(seconds=120), ) ) print(shared["url"])

asyncio.run(main()) PY

The server reads AM_LLM_BASE, AM_LLM_KEY or OPENAI_API_KEY, and AM_DEFAULT_MODEL from .env. The default base is https://api.openai.com. A trailing /v1 on the base is fine; the client appends /v1/chat/completions itself. create needs a key or a local OpenAI-compatible endpoint. With an empty key, a failed create reports that OPENAI_API_KEY / AM_LLM_KEY is empty. Run docker compose up -d again so the change takes effect.

Host ports bind to 127.0.0.1:

  • http://127.0.0.1:8780/mcp is the MCP API (bearer token required)
  • http://127.0.0.1:8780/app/ is My pages (paste the same token; the browser gets a session cookie)
  • http://127.0.0.1:8781/ is the cookieless preview and share origin (/p/…, /s/…)
Use the published image

ghcr.io/vrijsinghani/artifactsmith:0.1.0 is published for linux/amd64 on each release. Building from source (the Compose steps above) stays the default.

Connect a client

Claude.ai: Customize → Connectors → + Add → Add custom connector. Paste https://artifactsmith.neuralami.ai/mcp, select Connect, and sign in with your email. The connector then works in the Claude desktop and phone apps too. Free plans allow one custom connector. On Team and Enterprise plans an owner adds it first.

github.com/vrijsinghani/Artifactsmith is the copy you run yourself. On the hosted copy, Claude Desktop, Claude Code, and Cursor sign in with OAuth at https://artifactsmith.neuralami.ai/mcp. On your own copy they use a token. The MCP endpoint on this machine is http://127.0.0.1:8780/mcp. Send the token from artifactsmith token add as Authorization: Bearer YOUR_TOKEN. The header value starts with Bearer .

ChatGPT Free, Go, and Plus cannot add a custom MCP server. Pro can add one with read and fetch access only, so it cannot build pages. A ChatGPT Business, Enterprise, or Edu admin can add it on the web; it signs in with OAuth.

ChatGPT users can use it from OpenAI's Codex CLI instead: run codex mcp add artifactsmith --url https://artifactsmith.neuralami.ai/mcp, then codex mcp login artifactsmith, and sign in with your email.

Claude Desktop stores the config in claude_desktop_config.json (Settings → Developer → Edit Config). The snippet runs npx and mcp-remote, which needs Node.js. Restart Claude Desktop after saving.

{

"mcpServers": { "artifactsmith": { "command": "npx", "args": ["-y", "mcp-remote", "http://127.0.0.1:8780/mcp", "--header", "Authorization:${AUTH_HEADER}"], "env": { "AUTH_HEADER": "Bearer YOUR_TOKEN" } } } }

Claude Code stores .mcp.json, or run:

claude mcp add --transport http artifactsmith http://127.0.0.1:8780/mcp --header "Authorization: Bearer YOUR_TOKEN"
{

"mcpServers": { "artifactsmith": { "type": "http", "url": "http://127.0.0.1:8780/mcp", "headers": { "Authorization": "Bearer YOUR_TOKEN" } } } }

Cursor stores ~/.cursor/mcp.json, or .cursor/mcp.json in the project.

{

"mcpServers": { "artifactsmith": { "url": "http://127.0.0.1:8780/mcp", "headers": { "Authorization": "Bearer YOUR_TOKEN" } } } }

Example prompt: Create a one-page brief named Pilot store brief. Pass this as source_content: The pilot store code is HARBOR-17. It is the identifier used on inventory, support, and rollout reports.

artifactsmith stdio can list tools on stdin and stdout and does not listen. It cannot use the object store or the model, so it cannot build or publish a page.

Serving on your network or behind a proxy

Compose publishes API (8780) and preview/share (8781) on AM_BIND_ADDRESS (default 127.0.0.1). Cards and links use AM_API_URL, AM_PREVIEW_URL, and AM_SHARE_URL (empty AM_SHARE_URL falls back to AM_PREVIEW_URL). Exposing the ports without TLS puts bearer tokens and artifact content on the wire in cleartext.

LAN access

Bind on all interfaces (or a specific NIC IP) and point the public URL variables at the address clients will open:

# .env  (192.0.2.10 is documentation-range; substitute your LAN IP)

AM_BIND_ADDRESS=0.0.0.0 AM_API_URL=http://192.0.2.10:8780 AM_PREVIEW_URL=http://192.0.2.10:8781 AM_SHARE_URL=http://192.0.2.10:8781 AM_ALLOWED_HOSTS=192.0.2.10:8780,127.0.0.1:8780,localhost:8780

Then docker compose up -d --build. Clients open http://192.0.2.10:8780/mcp and preview/share links use 192.0.2.10, not 127.0.0.1. Browser-based MCP clients also need AM_ALLOWED_ORIGINS set to the page origin.

Share and preview URLs are built from AM_SHARE_URL / AM_PREVIEW_URL when the server returns them. Links you copied before switching to LAN serving still use the old base host; call share again (or copy the URL from inspect / status) after changing those settings.

Reverse proxy with TLS

Keep the host bind on loopback and terminate TLS on nginx or Caddy. Set the public URLs and allow-lists to the external hostname:

# .env

AM_BIND_ADDRESS=127.0.0.1 AM_API_URL=https://artifacts.example.com AM_PREVIEW_URL=https://preview.artifacts.example.com AM_SHARE_URL=https://preview.artifacts.example.com AM_ALLOWED_HOSTS=artifacts.example.com AM_ALLOWED_ORIGINS=https://artifacts.example.com

Minimal Caddy example (API on 443, preview on a second hostname):

artifacts.example.com {

reverse_proxy 127.0.0.1:8780 } preview.artifacts.example.com { reverse_proxy 127.0.0.1:8781 }

Minimal nginx snippet for the API host:

server {

listen 443 ssl; server_name artifacts.example.com;

ssl_certificate / ssl_certificate_key omitted

location / { proxy_pass http://127.0.0.1:8780; proxy_set_header Host $host; proxy_set_header Authorization $http_authorization;

status wait can be up to 90s; nginx defaults cut at 60s.

proxy_read_timeout 120s; proxy_send_timeout 120s; } }

When AM_ALLOWED_HOSTS lists only the public hostname, a local curl http://127.0.0.1:8780/mcp gets HTTP 421 (DNS-rebinding protection). Point clients at the proxied hostname instead. Browser-based MCP clients send an Origin header; set AM_ALLOWED_ORIGINS to that origin or the request is rejected.

MCP client on another machine

Point the client at {AM_API_URL}/mcp and send the token as Authorization: Bearer (the value printed once by artifactsmith token add). The header value starts with Bearer . artifactsmith stdio can list tools on stdin and stdout and does not listen. It cannot use the object store or the model, so it cannot build or publish a page. Example:

URL:    http://192.0.2.10:8780/mcp

Header: Authorization: Bearer asmb_…

How it works

Agents talk to ArtifactSmith over MCP. They pass the user's request as verbatim_request and any research as source_content or source_files. create starts a private build and does not publish a share link. Want a styled page? Pass Markdown to publish and it is styled automati

只显示了开头部分;其余内容请在仓库中阅读