Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
Turns agent output into versioned web pages, PDFs, Word docs, spreadsheets and Markdown.
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
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
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
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。
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
我们上次检查时服务器没有响应,所以无法读取它的工具。
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
注册名称已通过 GitHub 账户 vrijsinghani 验证,该账户拥有此仓库
代码最后更新于10天前
使用 MIT
我们检查时,6 秒内没有响应
我们检查时,6 秒内没有响应
尚未检查;我们会在检查端点时读取工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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。
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。
你需要填写:Authorization
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。
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。
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。
同一分类中有:Puter MCP, XcodeBuildMCP, XcodeBuildMCP
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 enables AI tools to interact with Puter: manage files, websites, workers, and more
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
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 is an open source artifact server for AI agents.
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.
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.
Cline follows llms-install.md.
cp .env.example .env
./scripts/ensure-local-env.sh docker compose up -d --build
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/…)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.
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.
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.
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.
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;
location / { proxy_pass http://127.0.0.1:8780; proxy_set_header Host $host; proxy_set_header Authorization $http_authorization;
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.
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_…
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