# OmniArchive-MCP

> OmniArchive-MCP — libering-omniarchive-mcp. Use this tool when you need to efficiently archive web pages without disrupting AI workflows, as OmniArchive-MCP solves the problem of slow API calls and rate limits by archiving pages to the Wayback Machine in the background, accepting URLs as input and providing archived page metadata as output, ideal for use cases requiring frequent web page preservation.

Canonical page: https://skillsregistry.net/skills/libering-omniarchive-mcp  
JSON: https://api.skillsregistry.net/v1/skills/libering-omniarchive-mcp

## Description

A local daemon that lets AI agents archive web pages to the Wayback Machine in the background, avoiding slow API calls and rate limits.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ox2vqvwi7a)
- **Repository:** <https://github.com/libering/keeplink-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": "libering-omniarchive-mcp"
    }
  }
}
```

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