Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.
A comprehensive HTTP client MCP server for security testing, API testing, and web automation that provides full-featured HTTP tools with detailed logging capabilities.
Fetches web pages from HTTP/HTTPS URLs and converts them to Markdown format. Supports both SSE and Stdio protocols for web deployments, Kubernetes environments, and desktop clients.
Provides browser automation capabilities via HTTP endpoints by wrapping the official Playwright MCP package, enabling serverless deployments and cloud environments where STDIO-based communication is not possible.
A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.
Enables web searches using TAVILY API with fallback to DuckDuckGo, datetime queries, and optional Ollama AI processing. Features HTTP transport with OAuth2 authentication for secure access to search capabilities.
A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
Web Content Retrieval (full webpage, filtered content, or Markdown-converted), Custom User-Agent, Multi-HTTP Method Support (GET/POST/PUT/DELETE/PATCH), LLM-Controlled Request Headers, LLM-Accessible Response Headers, and more.
A server that bridges AI models with Scrappey's web automation platform, allowing creation of browser sessions, execution of HTTP requests, and automation of browser actions while handling anti-bot protections.
Provides comprehensive access to Google Search Console data with enhanced analytics capabilities, supporting up to 25,000 rows of performance data, advanced filtering with regex patterns, and automatic detection of SEO optimization opportunities.
Model Context Protocol (MCP) server for web content fetching and extraction. Enables fetching webpages, extracting clean content using Trafilatura, discovering links, and batch fetching up to 10 URLs.
A server that enables AI assistants like Claude to safely run Python code and access websites, processing data for better AI understanding while providing helpful error messages.