# iReader MCP

> Use this tool when you need to extract content from diverse web sources, such as webpages, YouTube transcripts, and PDF files, to convert them into markdown or text format for further processing or model consumption. It solves the problem of accessing and utilizing online resources in a machine-readable format, enabling efficient data preparation and analysis. The iReader MCP tool takes in various web sources as input and outputs formatted text or markdown, making it ideal for use cases requiring web data extraction and conversion.

Canonical page: https://skillsregistry.net/skills/zlatanpham-ireader-mcp  
JSON: https://api.skillsregistry.net/v1/skills/zlatanpham-ireader-mcp

## Description

Enables extraction of content from various web sources including webpages, YouTube transcripts, tweet threads, PDF files, and public Google Docs. It provides specialized tools to convert internet resources into markdown or text for model consumption.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** social-media
- **Updated:** 2026-04-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/o0upmp9o1t)
- **Repository:** <https://github.com/zlatanpham/ireader-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": "zlatanpham-ireader-mcp"
    }
  }
}
```

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