# Artifacts

> Use this tool when you need to organize and retain information from AI sessions, saving decisions, plans, and notes for future reference. It solves the problem of knowledge loss between sessions, allowing for seamless retrieval of saved artifacts from any client. Ideal for complex projects or multi-session tasks, Artifacts provides a centralized hub for inputting and outputting key information.

Canonical page: https://skillsregistry.net/skills/io-github-mctx-ai-artifacts  
JSON: https://api.skillsregistry.net/v1/skills/io-github-mctx-ai-artifacts

## Description

Save decisions, plans, and notes from any AI session and retrieve them later — from any client. Ask

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 2.2.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-05-09

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.mctx-ai%2Fartifacts)

## Use it

MCP endpoint published by the skill: `https://artifacts.mctx.ai/v2.2.0`

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-github-mctx-ai-artifacts"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-mctx-ai-artifacts` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-mctx-ai-artifacts/pull`

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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