"Semantic Web" matching MCP servers:

Bridges the editing capabilities of an already-open DingTalk document in the browser to any MCP host via standard stdio, forwarding tools to the page's internal MCP server over a local WebSocket. Supports read/write operations through suggested edits, pairing-based security, and zero runtime dependencies.

An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables agentic workflows to execute allow-listed side effects with automatic reverse-order compensation on failure, durable SQLite journaling, and idempotent rollback via MCP tools.

An AI-powered MCP server that automates web testing workflows by enabling recording, execution, and discovery of tests through natural language prompts.

Connects ChatGPT Web to a local development environment, enabling file reads and patches, shell execution, plan updates, and isolated worktree coordination through permissioned MCP tools.

Enables AI agents to print HTML, web pages, PDFs, and images to local printers by bridging to an existing client over WebSocket, including previews, printer discovery, batch jobs, and customizable PDF/print settings.

Enables AI models to search the web for current information before generating responses, with features for conditional searching, geographic customization, and automatic citations.

Enables AI assistants to create and manage visual automation configurations, workflows, and UI states through the Qontinui API. It supports project management, workflow execution, and configuration handling for automated web interactions.

A Node.js application that connects WhatsApp Web with AI models through the Model Context Protocol, enabling automated messaging, contact management, and group chat functionality through AI-driven workflows.

Enables AI assistants to pair with a personal or business WhatsApp account via terminal QR code, then send text messages, forward media from URLs, verify phone numbers, and check connection status.

Whatsapp-Web MCP

Enables authenticated MCP clients to automate UI-only operations on Digital Invoicing Software via Playwright, including login/session checks, navigation, dashboards, invoice validation/edit/duplication/export, reporting, screenshots, and user management with per-tenant isolation.

A framework that makes any web application natively operable by AI agents through the Model Context Protocol (MCP), replacing browser automation with structured UI semantic trees and typed backend operations.

MCP server that lets Claude read and send WhatsApp messages using a genuine WhatsApp Web client behind a code-enforced human-behavior middleware for safety.

Compile semantic document edits into correct Google Docs batchUpdate requests. UTF-16 arithmetic, cascading index shifts, OT-compatible ordering. MIT licensed.

An MCP server that bridges VS Code Copilot to your mobile device, allowing you to monitor task progress and respond to decision prompts while away from your desk. It features real-time push notifications, a web-based dashboard, and interactive tools for remote code review and approval.

MCP server for autonomous end-to-end testing with Wopee.io. Analyzes web applications, generates and executes Playwright-based functional tests, and validates results — all driven by natural language commands.

Allows Claude Code agents to pull tasks from an EasyTopic Kanban board, automate planning, commenting, approval, implementation, and closing of topics.

Enables AI assistants to access content from authenticated web pages by opening a real browser for manual login and session capture. It saves browser profiles locally so users only need to log in once per service for future automated access.