SuperAPI AI Directory

mcp-server

Web intelligence API: screenshots, PDF generation, page metadata and specialized extractors for news, social media, search results, prices and more.

Open website

About this tool

MCP server for Junipr APIs is a Model Context Protocol (MCP) server provided by Junipr Labs, used to let AI assistants access Junipr's web intelligence API. According to the repository description, it provides 75+ web intelligence tools, covering screenshots, PDF, metadata extraction, scrapers, validators, and more.

Purpose The main purpose of this server is to serve as a bridge between AI assistants and the Junipr API, enabling AI clients to perform web intelligence tasks such as webpage screenshots, PDF generation, and webpage metadata extraction.

Main capabilities

  • Webpage screenshots: Capture screenshots of any webpage.
  • PDF generation: Generate PDFs from URLs or HTML.
  • Metadata extraction: Extract metadata from any webpage, returning title, description, Open Graph tags, Twitter Cards, JSON-LD structured data, favicon, canonical URL, language, and more.
  • Specialized extractors: Provide specialized extractors for content such as news, social media, search results, and prices.
  • Other tools: Also includes scrapers, validators, and more, for a total of 75+ tools.

How to use

  1. Get an API key: Register at junipr.io/login to get a free API key (500 credits per month).
  2. Configure the MCP client:
    • Claude Desktop: Add the configuration to ~/Library/Application Support/Claude/claude_desktop_config.json on macOS or %APPDATA%\Claude\claude_desktop_config.json on Windows, then set the environment variables.
    • Cursor: Add to .cursor/mcp.json.
    • VS Code: Add to .vscode/mcp.json.
    • Windsurf: Add to ~/.codeium/windsurf/mcp_config.json.

Use cases Suitable for scenarios that require integrating webpage screenshots, PDF generation, webpage metadata extraction, and extraction of specific content such as news, social media, search results, and prices into AI assistant workflows.

Limitations The repository materials do not provide information about specific tool limitations, API call frequency, credit consumption rules, supported platform details, or error handling methods; this information is not currently provided.