"Super User" matching MCP servers:

A multi-modal user intent collection MCP server that allows AI agents to ask users questions and receive text/image replies.

A task management server that helps AI assistants break down user requests into manageable tasks and track their completion with user approval steps.

Enables AI clients to connect locally over stdio, discover and read schemas for native page tools, and execute user-authorized operations supplied by websites and independent user scripts.

A referee for self-improving AI agent loops that mines past sessions for working workflows, improves them, and never stops until you stop it.

Facilitates browser automation with custom capabilities and agent-based interactions, integrated through the browser-use library.

Enables autonomous agents to detect under-specified user goals, gauge reversibility and risk, and present minimal multiple-choice clarifications before committing to high-stakes execution.

An MCP server that enables AI models to access user geolocation information through EdgeOne Pages Functions.

Enables a Hermes agent to exchange messages with a personal LINE account through chatmux, with durable cursor, inbox, and outbox persistence plus exact DM/group allowlists, activation prefixes, and outbound target gates. It also provides observe-first configuration, named-profile routing for native-mention groups, CLI diagnostics, and fail-closed handling of ambiguous sends.

Enables AI agents to autonomously operate web browsers through the Model Context Protocol, including navigating pages, clicking, typing, filling forms, and extracting structured data.

Enables large language models to access user geolocation information through EdgeOne Pages Functions using the Model Context Protocol.

Enables external AI applications to access MCP tools by providing a user-hosted HTTPS endpoint that forwards requests to a paired desktop client.

A system-level MCP protocol stack for OpenHarmony that provides unified tool discovery, caching, security, and statistics for agents, reducing context overhead and improving throughput via a user-space daemon (mcpd).

Enables AI agents to control and automate browser actions through an MCP server deployed on Heroku. Supports programmatic browser automation with natural language tasks across multiple LLM providers.

Enables MCP agents to drive the user's already-open Chrome profile through a Manifest V3 extension and loopback bridge, listing and controlling existing tabs, capturing screenshots, and sending clicks, typing, drags and key holds via an independent on-page cursor without moving the system mouse. It also supports form filling, console and network inspection, read-only or confirmed JavaScript execution, file and PDF downloads, and game-style screenshot/action loops with snapshot recovery and an emergency stop.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Enables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.

A local-first memory vault MCP server for Windows that exposes an encrypted user memory store to agents via a permission-brokered protocol, ensuring user ownership and control over browsing data.

TEX is an MCP server that enables Claude Code to perform browser tasks using plain language, driving a real browser to interact with web applications that lack APIs.

A FastMCP server that enables browser automation through natural language commands, allowing Language Models to browse the web, fill out forms, click buttons, and perform other web-based tasks via a simple API.

Enables AI clients to connect to a single MCP endpoint that aggregates many MCP servers and built-in tools, with multi-user authentication, per-user server configuration, encrypted secrets, and a skills hub.