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.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
검사 3/4 통과 · 내 컴퓨터에서 실행돼요
명령 일부를 숨겼어요
주소로 연결: 확인할 때 서버 주소가 응답하지 않았어요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요 · 만든 사람의 설치 안내 · 같은 분류의 다른 서버
먼저: 어떤 AI를 쓰시나요?
쓰는 앱을 고르면 아래에 단계가 나옵니다.
Claude는 아직 ArtifactSmith에 연결할 수 없어요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요
ChatGPT는 아직 ArtifactSmith에 연결할 수 없어요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요
Claude Code는 아직 ArtifactSmith에 연결할 수 없어요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요
Cursor는 아직 ArtifactSmith에 연결할 수 없어요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요
VS Code는 아직 ArtifactSmith에 연결할 수 없어요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요
아직 확인을 통과한 설치 방법이 없어요. 만든 사람의 안내를 보거나 같은 분류의 다른 서버를 고르세요
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.
인터넷으로 연결하는 앱
GooseLM StudioMsty StudioCherry StudioVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast
마지막으로 점검했을 때 서버가 응답하지 않아서 도구를 읽지 못했어요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 13일 점검
레지스트리 이름이 GitHub 계정 vrijsinghani 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
코드 마지막 변경: 10일 전
MIT 사용
점검할 때 6초 안에 응답하지 않았어요
점검할 때 6초 안에 응답하지 않았어요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
질문하고, 팁을 나누고, 안 되는 점을 알려 주세요. "도움이 됨"이 많은 순서예요.
아직 리뷰가 없어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 4개 중 3개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 10일 전 변경됐고, 최신 버전(0.1.1)은 27일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되므로 원격 MCP를 받는 앱에서도 쓸 수 있어요. 예: 웹 ChatGPT(Business 이상은 전체 MCP, Pro는 읽기 전용).
같은 카테고리에는: Puter MCP, XcodeBuildMCP, XcodeBuildMCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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