# io.artifacta/mcp

> Use this tool when you need to persist and manage AI agent run outputs with associated session metadata, eliminating duplicates and enabling seamless handoffs. It solves problems of output tracking, deduplication, and session management, providing a centralized artifact store for AI workflows. The tool accepts run outputs and session metadata as inputs and provides a listing of stored artifacts as output.

Canonical page: https://skillsregistry.net/skills/io-artifacta-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-artifacta-mcp

## Description

Artifact store for AI agents — persist, list, hand off run outputs with session metadata and dedup.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.artifacta%2Fmcp)
- **Repository:** <https://github.com/SagaPeak/artifacta-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "io-artifacta-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-artifacta-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-artifacta-mcp/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt