# MCP JinaAI Reader Server

> Use this tool when you need to efficiently extract structured web content for documentation and analysis. It integrates Jina.ai's Reader API with Large Language Models (LLMs) to solve problems of unorganized and hard-to-parse web data, providing optimized outputs for further processing. Ideal for use cases requiring automated web content extraction and analysis, it takes in web content as input and outputs structured data for easy integration with other applications.

Canonical page: https://skillsregistry.net/skills/spences10-mcp-jinaai-reader  
JSON: https://api.skillsregistry.net/v1/skills/spences10-mcp-jinaai-reader

## Description

Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a75afsx9cx)
- **Repository:** <https://github.com/spences10/mcp-jinaai-reader>

## 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": "spences10-mcp-jinaai-reader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/spences10-mcp-jinaai-reader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/spences10-mcp-jinaai-reader/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
