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MCP verified MIT Self-run

Mcp Jinaai Reader

mcp-spences10-mcp-jinaai-reader Β· by spences10

πŸ” Model Context Protocol (MCP) tool for parsing websites using the Jina.ai Reader

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Install

$ agentstack add mcp-spences10-mcp-jinaai-reader

βœ“ scanned Β· βœ“ verified, works with Claude Code, Cursor, and more.

Security review

βœ“ Passed

No issues found. Passed automated security review. Β· v0.1.0 How review works β†’

  • βœ“ Prompt-injection patterns
  • βœ“ Secret / credential exfiltration
  • βœ“ Dangerous shell & filesystem operations
  • βœ“ Untrusted network calls
  • βœ“ Known-malicious package signatures

What it can access

  • βœ“ Network access No
  • βœ“ Filesystem access No
  • βœ“ Shell / process execution No
  • βœ“ Environment & secrets No
  • βœ“ Dynamic code execution No

From automated source analysis of v0.1.0. β€œUsed” means the capability is present in the source β€” more access means more to trust, not that it’s unsafe.

View the full security report β†’

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

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Reliability & compatibility

βœ“ Security review passed
0 installs to date
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β—‹ Archived

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

mcp-jinaai-reader


⚠️ Notice

This repository is no longer maintained.

The functionality of this tool is now available in mcp-omnisearch, which combines multiple MCP tools in one unified package.

Please use mcp-omnisearch instead.


A Model Context Protocol (MCP) server for integrating Jina.ai's Reader API with LLMs. This server provides efficient and comprehensive web content extraction capabilities, optimized for documentation and web content analysis.

Features

  • πŸ“š Advanced web content extraction through Jina.ai Reader API
  • πŸš€ Fast and efficient content retrieval
  • πŸ“„ Complete text extraction with preserved structure
  • πŸ”„ Clean format optimized for LLMs
  • 🌐 Support for various content types including documentation
  • πŸ—οΈ Built on the Model Context Protocol

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"jinaai-reader": {
			"command": "node",
			"args": ["-y", "mcp-jinaai-reader"],
			"env": {
				"JINAAI_API_KEY": "your-jinaai-api-key"
			}
		}
	}
}

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"jinaai-reader": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"JINAAI_API_KEY=your-jinaai-api-key npx mcp-jinaai-reader"
			]
		}
	}
}

Environment Variables

The server requires the following environment variable:

  • JINAAI_API_KEY: Your Jina.ai API key (required)

API

The server implements a single MCP tool with configurable parameters:

read_url

Convert any URL to LLM-friendly text using Jina.ai Reader.

Parameters:

  • url (string, required): URL to process
  • no_cache (boolean, optional): Bypass cache for fresh results.

Defaults to false

  • format (string, optional): Response format ("json" or "stream").

Defaults to "json"

  • timeout (number, optional): Maximum time in seconds to wait for

webpage load

  • target_selector (string, optional): CSS selector to focus on

specific elements

  • wait_for_selector (string, optional): CSS selector to wait for

specific elements

  • remove_selector (string, optional): CSS selector to exclude

specific elements

  • with_links_summary (boolean, optional): Gather all links at the

end of response

  • with_images_summary (boolean, optional): Gather all images at the

end of response

  • with_generated_alt (boolean, optional): Add alt text to images

lacking captions

  • with_iframe (boolean, optional): Include iframe content in

response

Development

Setup

  1. Clone the repository
  2. Install dependencies:
npm install
  1. Build the project:
npm run build
  1. Run in development mode:
npm run dev

Publishing

  1. Update version in package.json
  2. Build the project:
npm run build
  1. Publish to npm:
npm publish

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see the [LICENSE](LICENSE) file for details.

Acknowledgments

  • Built on the

Model Context Protocol

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source β€” we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.