# wallabag-mcp

> wallabag-mcp — rusty4444-wallabag-mcp. Use this tool when you need to manage and interact with wallabag articles, tags, and annotations in a structured and automated way. It solves problems related to article organization, tagging, and annotation, providing a seamless interface for AI assistants to access and manipulate wallabag data. With inputs such as article IDs and tags, and outputs including article metadata and annotations, it is ideal for use cases requiring automated content curation and analysis.

Canonical page: https://skillsregistry.net/skills/rusty4444-wallabag-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rusty4444-wallabag-mcp

## Description

MCP server providing AI assistants with a structured interface to manage wallabag articles, tags, and annotations.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xkmtl1x5ke)
- **Repository:** <https://github.com/rusty4444/wallabag-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": "rusty4444-wallabag-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rusty4444-wallabag-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rusty4444-wallabag-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