# pyaireader

> Use this tool when you need to safely fetch and extract web content for AI agents, providing a secure way to read public URLs and cache evidence. It solves problems related to web scraping, content extraction, and data inspection, allowing for efficient and reliable data collection. The pyaireader tool accepts URLs as input and outputs extracted web content, making it ideal for use cases where AI agents require web data as evidence.

Canonical page: https://skillsregistry.net/skills/pigeonai-yang-pyaireader  
JSON: https://api.skillsregistry.net/v1/skills/pigeonai-yang-pyaireader

## Description

MCP server for safely reading public URLs for AI agents, providing tools to fetch, extract, cache, and inspect web content as evidence.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/zch0q72w86)
- **Repository:** <https://github.com/PigeonAI-Yang/pyaireader>

## 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": "pigeonai-yang-pyaireader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pigeonai-yang-pyaireader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pigeonai-yang-pyaireader/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