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Official MCP server for Artifacta — artifact store for AI agents. Persist, list, and hand off run outputs with session metadata, dedup, and expiring share links. TypeScript + Python.

MCP ServersOfficial Registry0 stars0 forksTypeScriptMITUpdated today
Install in Claude Code / Claude Desktop
Method: pip / Python · -e
Claude Code CLI
claude mcp add artifacta-mcp -- python -m -e
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "artifacta-mcp": {
      "command": "python",
      "args": ["-m", "venv"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install -e
Use cases

MCP Servers overview

# Artifacta MCP Server

[![npm](https://img.shields.io/npm/v/%40artifacta-mcp%2Fmcp)](https://www.npmjs.com/package/@artifacta-mcp/mcp)
[![PyPI](https://img.shields.io/pypi/v/artifacta-mcp)](https://pypi.org/project/artifacta-mcp/)
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE)

Official MCP server for [Artifacta](https://artifacta.io) — 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](https://registry.modelcontextprotocol.io)
as `io.artifacta/mcp`.

Two implementations with the same tool surface, error contract, and
path-confinement engine:

| Directory | Package | Runtime |
|-----------|---------|---------|
| [`typescript/`](./typescript) | [`@artifacta-mcp/mcp`](https://www.npmjs.com/package/@artifacta-mcp/mcp) | Node 20+ |
| [`python/`](./python) | [`artifacta-mcp`](https://pypi.org/project/artifacta-mcp/) | Python 3.10+ |

## Quick start

Get an API key at [app.artifacta.io/dashboard/keys](https://app.artifacta.io/dashboard/keys),
then add to your MCP client config (Claude Desktop, Claude Code, Cursor, or any
MCP client):

```json
{
  "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](./typescript/README.md) ·
[Python](./python/README.md).

## Tools

| 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.

## Framework integrations

The Python package ships optional adapters for
[OpenAI Agents SDK](./python/examples/openai_agents) (`pip install
'artifacta-mcp[openai-agents]'`) and
[LangChain/LangGraph](./python/examples/langchain) (`pip install
'artifacta-mcp[langchain]'`).

## Documentation

Full docs at [docs.artifacta.io/mcp/overview](https://docs.artifacta.io/mcp/overview).

## Development

```bash
# 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.

## License

MIT — see [LICENSE](./LICENSE).
ai-agentsartifactsmcpmcp-servermodel-context-protocolpythontypescript

What people ask about artifacta-mcp

What is SagaPeak/artifacta-mcp?

+

SagaPeak/artifacta-mcp is mcp servers for the Claude AI ecosystem. Official MCP server for Artifacta — artifact store for AI agents. Persist, list, and hand off run outputs with session metadata, dedup, and expiring share links. TypeScript + Python. It has 0 GitHub stars and was last updated today.

How do I install artifacta-mcp?

+

You can install artifacta-mcp by cloning the repository (https://github.com/SagaPeak/artifacta-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is SagaPeak/artifacta-mcp safe to use?

+

SagaPeak/artifacta-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains SagaPeak/artifacta-mcp?

+

SagaPeak/artifacta-mcp is maintained by SagaPeak. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to artifacta-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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