# Pocket

> Use this tool when you need to integrate AI assistance into your reading workflow, such as summarizing saved articles or prioritizing reading lists. It solves problems like managing unread articles and analyzing reading habits by allowing AI assistants to interact with users' saved Pocket articles through natural language commands. The tool takes in user requests and article data as inputs, and outputs summarized or prioritized article information, enabling efficient reading list management.

Canonical page: https://skillsregistry.net/skills/kazuph-pocket  
JSON: https://api.skillsregistry.net/v1/skills/kazuph-pocket

## Description

This MCP server integrates with the Pocket API, allowing AI assistants to interact with users' saved articles. Developed by kazuph, it enables fetching unread articles and marking them as read through natural language commands. The TypeScript implementation uses the Model Context Protocol SDK and Zod for robust type checking. It's designed for Pocket users who want to incorporate AI assistance into their reading workflow, enabling tasks like summarizing saved articles, prioritizing reading lists, or analyzing reading habits through conversational interfaces.

## 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:** productivity
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/kazuph-pocket)
- **Repository:** <https://github.com/kazuph/mcp-pocket>

## 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": "kazuph-pocket"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kazuph-pocket` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kazuph-pocket/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