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.
Exposes runtime-local capabilities from browsers, apps, devices, and local processes to AI agents through a unified MCP bridge, enabling path-based discovery and invocation of live context.
Transforms Claude into a persistent intelligence layer with automatic checkpointing, crash recovery, semantic memory, and cross-project learning. It provides 128+ tools for session management, adversarial testing, and browser automation to eliminate state loss and context rebuild costs.
An MCP server that enables AI agents to execute real-world actions through 10 specialized engines covering authenticated API calls, browser automation, visual QA, shell commands, file operations, job scraping, and parallel task execution.
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.
AI-controlled browser farm — run N isolated Chromium instances with 36 MCP tools for device emulation, screenshots, network/geolocation simulation, and diagnostics. Cross-platform: Windows GUI + headed/headless on Linux/macOS.
Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
Web search for AI agents across 6 engines (Serper, Brave, Exa, Tavily, Firecrawl, Perplexity) through one search tool. Routes each query to the cheapest engine that clears a quality bar and caches repeats. Hosted, streamable-HTTP, BYOK supported.
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.
Chat with Google NotebookLM via MCP or HTTP REST API for zero-hallucination answers from your documentation. Features persistent sessions, multi-notebook management, and n8n workflow integration.
Enables AI agents to interact with Charles Proxy for HTTP traffic analysis, supporting incremental harvest, checkpoint timelines, and rich filtering tools.
A lightweight Model Context Protocol (MCP) server that enables your LLM to capture screenshots of any specified URL and return only the access URL for the captured image. This tool simplifies the process of generating and sharing webpage snapshots, making it perfect for integrating visual capture ca