ArtifactSmith MCP server
io.github.vrijsinghani/artifactsmith·v0.1.1Turns agent output into versioned web pages, PDFs, Word docs, spreadsheets and Markdown.
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If you have run it, two minutes of your experience saves the next person an afternoon.
ArtifactSmith tools
Tool list not cached yet. `describe` through the gateway fetches it live.
Public scan report
scanner v0.1.10 · 2026-10-27 · same rubric, same numbers if you re-run it
- –Code scanremote-only server, no package to scann/a
- Live reliabilityremote reachable in 363ms (auth required)20/20
- –Tool poisoningtools not inspected (endpoint requires auth); not countedn/a
- Auth qualityOAuth resource metadata advertised on 40115/15
- Maintenancelast push 1 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How ArtifactSmith compares
Against every graded Productivity MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 97/100
- higher than 98% of 1,299 Productivity servers
- Uptime
- 57%
- of our recent checks; the typical remote Productivity server answers 100%
- Response time
- 382 ms
- faster than 37% of 655 Productivity servers
Install ArtifactSmith in Claude Code, Cursor or VS Code
claude mcp add --transport http artifactsmith https://artifactsmith.neuralami.ai/mcp
What the publisher says
From the ArtifactSmith repository's README, as published. We do not edit it. Read it on GitHub
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.
- Web page: Hurricane readiness checklist, from Ready.gov guidance.
- Chart report: U.S. jobs report in charts, unemployment and payrolls, January 2024 to September 2026, from BLS data.
- PDF: U.S. labor market brief, one page, September 2026, from BLS data.
- Word document: Kickoff meeting notes, for a fictional library website project. Downloads a .docx.
- Excel workbook: Unemployment and payrolls, 2024 to 2026, monthly figures with a sources sheet. Downloads a .xlsx.
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 alphapublish 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)Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
ArtifactSmith: common questions
- Is ArtifactSmith MCP server safe?
- Yes, by our scan: it is graded A (97/100). Read the ArtifactSmith safety report
- How do I install ArtifactSmith?
- It runs remotely at artifactsmith.neuralami.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does ArtifactSmith need an API key?
- No key to paste: it signs you in with OAuth when your client connects.
- Is ArtifactSmith maintained?
- The last commit was 9 days ago (2026-10-26). The latest release is v0.1.1.
- Is ArtifactSmith up?
- 57% of our last 28 checks got an answer. We check remote servers about four times a day.
- What can I use instead of ArtifactSmith?
- Servers from other publishers that do the same job: artifact-site MCP server, Sceneview MCP server and SceneView MCP server.
- How does ArtifactSmith compare with other Productivity MCP servers?
- safety score 97/100 (higher than 98% of 1,299 Productivity servers); uptime 57% (of our recent checks; the typical remote Productivity server answers 100%); response time 382 ms (faster than 37% of 655 Productivity servers). Full comparison.
Alternatives to ArtifactSmith
Same job from other publishers: the closest match first, then the best rated.
- artifact-siteOne place for every AI agent's pages and docs: versioned links to share, search and update.not reviewedEstablishedC
- Sceneview3D & AR SDK for Android, iOS, Web — API docs, samples, validation, and code generation.not reviewedEstablishedA
- SceneView3D & AR SDK for Android, iOS, Web — API docs, samples, validation, and code generation.not reviewedEstablishedA
- Sceneview3D & AR SDK for Android, iOS, Web — API docs, samples, validation, and code generation.not reviewedEstablishedA
- Farm.js DocsSearch and read the Farm.js docs: pages, sections, code examples and config options.not reviewedEstablishedA