# X Archive Daemon

> Use this tool when you need to efficiently archive and analyze large amounts of data from X, and enable advanced search and semantic analysis capabilities. It solves problems of data ingestion, storage, and retrieval, and provides inputs of archived posts and outputs of relevant search results and topic labels. Ideal for use cases requiring low-cost data management and AI-driven insights.

Canonical page: https://skillsregistry.net/skills/menesekinci-x-archive-daemon  
JSON: https://api.skillsregistry.net/v1/skills/menesekinci-x-archive-daemon

## Description

Archives posts from X into a local SQLite database and provides tools for semantic analysis and natural language search. It enables agents to manage low-cost data ingestion and retrieve relevant posts using local embeddings and topic labeling.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/njs386nni0)
- **Repository:** <https://github.com/menesekinci/x-archive-daemon>

## 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": "menesekinci-x-archive-daemon"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/menesekinci-x-archive-daemon` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/menesekinci-x-archive-daemon/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