Server data from the Official MCP Registry
Artifact store for AI agents — persist, list, hand off run outputs with session metadata and dedup.
Artifact store for AI agents — persist, list, hand off run outputs with session metadata and dedup.
This is a well-engineered MCP server with strong security practices. Authentication is properly required via API keys, permissions are appropriately scoped to artifact storage operations, and the code demonstrates careful input validation and error handling. Minor code quality observations around broad exception handling do not materially impact security. Supply chain analysis found 6 known vulnerabilities in dependencies (2 critical, 3 high severity). Package verification found 2 issues.
4 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: ARTIFACTA_API_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-artifacta-mcp": {
"env": {
"ARTIFACTA_API_KEY": "your-artifacta-api-key-here"
},
"args": [
"-y",
"@artifacta-mcp/mcp"
],
"command": "npx"
}
}
}From the project's GitHub README.
Official MCP server for Artifacta — an artifact store purpose-built for AI agents. Agents persist run outputs (files, reports, datasets, build results) with session and agent metadata, hand them off across sessions, and share them via expiring download links. Content-hash dedup means re-storing the same bytes is free.
Listed in the official MCP registry
as io.artifacta/mcp.
Two implementations with the same tool surface, error contract, and path-confinement engine:
| Directory | Package | Runtime |
|---|---|---|
typescript/ | @artifacta-mcp/mcp | Node 20+ |
python/ | artifacta-mcp | Python 3.10+ |
Get an API key at app.artifacta.io/dashboard/keys, then add to your MCP client config (Claude Desktop, Claude Code, Cursor, or any MCP client):
{
"mcpServers": {
"artifacta": {
"command": "npx",
"args": ["-y", "@artifacta-mcp/mcp"],
"env": {
"ARTIFACTA_API_KEY": "ak_live_..."
}
}
}
}
Or run the Python implementation with pipx run artifacta-mcp.
See the per-package READMEs for config-file profiles, path confinement
(--allow-path), destructive-tool gating (--allow-destructive), and
troubleshooting: TypeScript ·
Python.
| Tool | Description |
|---|---|
whoami | Verify credentials; returns tenant and plan info |
store_artifact | Upload an artifact from inline content or a local path |
request_upload_url / complete_upload | Two-phase presigned upload for large files |
get_artifact | Fetch artifact metadata by ID |
get_artifact_download_url | Get a presigned download URL (1h expiry) |
list_artifacts | List/filter artifacts by session, agent, or metadata |
list_sessions | List active sessions |
seal_session | Seal a session so no further artifacts can be added |
create_download_link | Create a public expiring share link (gated behind --allow-destructive) |
delete_artifact | Soft-delete an artifact (gated behind write confirmation) |
Plus MCP resources for whoami, artifact metadata, artifact bytes, and
sessions.
Safety defaults: local-file uploads are confined to an explicit --allow-path
allow-list, and destructive tools (public share links, deletes, session seals)
are hidden from clients that can't confirm writes unless --allow-destructive
is passed.
The Python package ships optional adapters for
OpenAI Agents SDK (pip install 'artifacta-mcp[openai-agents]') and
LangChain/LangGraph (pip install 'artifacta-mcp[langchain]').
Full docs at docs.artifacta.io/mcp/overview.
# TypeScript
cd typescript && npm install && npm test
# Python
cd python && python -m venv .venv && source .venv/bin/activate
pip install -e '.[dev]' && pytest
This repository is published from the Artifacta monorepo; issues and PRs are welcome here.
MIT — see LICENSE.
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