"A tool for browsing the internet" matching MCP servers:

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Listens for Discord @mentions via Gateway and queues them for processing by an agent, exposing a tool to retrieve pending mentions for automated responses.

Enables AI-driven job application automation for LinkedIn and SEEK platforms with intelligent cover letter generation, automated application submission, and application tracking management. Supports anti-detection measures and complies with platform usage policies for safe job hunting automation.

Enables AI apps to work with Google Sheets in plain language: finding spreadsheets, reading and writing ranges, managing sheets, formatting, validation, protected ranges, tables, charts, and access control, with deliberate writes and destructive operations clearly marked.

Enables AI assistants to manage Google Contacts through natural language, including searching, reading, creating, updating, and deleting contacts, organizing labels and groups, running batch operations, and converting auto-saved Other contacts into regular ones.

Enables AI assistants to search, read, draft, and send Gmail messages, as well as manage labels and trash using natural language.

Enables AI coding assistants to access the internet through VPN exit nodes to bypass geo-restrictions and avoid rate limits. It allows users to route HTTP requests through various global regions and manage VPN connections directly within MCP-compatible clients.

A production-ready admin bundle for the n8n-mcp server, featuring a web GUI, token-authenticated reverse proxy, and tool management to let AI assistants interact with n8n workflows.

Enables Claude to interact with WhatsApp on macOS through the Model Context Protocol. It allows reading messages, searching contacts, listing chats, and sending replies via natural conversation.

A tool that enables AI assistants to conversationally scaffold, build, and publish Python MCP servers to PyPI. It automates the entire development lifecycle, including package naming, tool scaffolding, GitHub repository setup, and package publishing.

A minimal MCP server for posting tweets to X (Twitter) via API v2, supporting tweet creation, replies, and quote tweets.

Enables MCP-speaking AI agents to operate a desktop and browser through structured UI inspection, mouse/keyboard gestures, tab-scoped browsing, and approved local screen recording with editing.

Enables MCP clients to operate local Adobe Premiere Pro projects, covering media ingest, bins, sequence and timeline editing, transitions, effects, keyframes, captions, markers, metadata, proxies, multicam, color, audio, and exports through 283 discoverable tools, 13 context resources, and 10 guided prompts. A bundled CEP panel provides the supported production bridge, with read-only connection verification and higher-level workflows for assembling product spots and motion-graphics demos.

Lets AI apps read and edit Google Docs in plain language, including reading as text or Markdown, making precise range-based edits, styling, working with comments, and exporting to PDF, DOCX, and other formats.

A feedback-oriented MCP server with a Web UI for AI development workflows, enabling interactive confirmations and reducing speculative tool calls.

MCP server that exposes the i-net HelpDesk Ticket Web-API as tools for AI agents, enabling ticket search, reading, creation, and actions like replying, closing, and escalating, with attachment support.

Create disposable email inboxes, extract OTP codes in 15 languages, and receive webhooks — all from your AI agent. One call: create inbox → wait for email → get the verification code. Supports 7 domains, email forwarding, and HMAC-signed webhooks with OTP included in payload. Free tier available.

Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).

Enables introspection and configuration of a running ATLAS instance, including browsing chat history, editing config/mcp.json, and managing workspaces and custom prompts.

Enables AI assistants to interact with humans through GUI dialogs for text input, choices, confirmations, and information display.