"GitHub Pages" matching MCP servers:

Enables AI agents to open, read, and act on live web pages through verified browser actions, including filling forms, extracting data, debugging pages, and handling bot walls.

Enables AI agents to analyze employee GitHub activity including PRs, code reviews, comments, and contributions across repositories with time-range filtering for performance assessment and impact analysis.

Enables agents to discover, read, and use reusable skills stored in public GitHub repositories.

Search, install, and manage AI agent skills (SKILL.md files) from GitHub repositories. Features workspace analysis for personalized recommendations and supports 140+ pre-indexed skills.

A browser automation MCP server that enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or vision models.

Enables AI tools to drive a hosted headless-Chromium browser over HTTP, letting them navigate, click, type, and read web pages through accessibility snapshots.

Agent-native headless browser for AI agents. Converts web pages to a Semantic Object Model (SOM) instead of raw HTML — 17x average token reduction across real-world sites (up to 117x on complex pages). Native MCP server with fetch_page, extract_text, extract_links, and full browser automation. No API key required.

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

Enables an AI agent to read and operate the Chrome or Edge tabs you are already using — titles, URLs, text, HTML, screenshots, clicks, typing, scrolling, and tab management — via a browser extension and native messaging, without restarting the browser, switching profiles, or opening a debug port. It exposes these capabilities as 19 MCP tools, with access limited to explicitly shared tabs and hardened by per-tab, origin-bound grants plus domain allow/deny lists.

Enables edge AI agents to optimize inference memory and latency by mapping logical blocks to non-contiguous physical pages, tracking fragmentation, and exposing related MCP tools.

A unified gateway and dashboard that aggregates multiple MCP servers into a single endpoint for streamlined management by AI clients. It features a centralized YAML configuration, a web-based monitoring dashboard, and hot-reload support for managing filesystem, GitHub, and database tools.

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 Claude to control Opera GX by adjusting GX Control limiters, sidebar, tab bar settings, themes, presets, and managing tabs and pages.

A universal AI API orchestrator that connects to 17+ services (Stripe, Slack, GitHub, etc.) and enables natural language task execution, multi-step automation, and complex orchestration across them without coding.

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

An MCP server that generates skill manifests from GitHub skills directories and provides tools to recommend and download AI agent skills.

Persistence, headed Chromium browser control for MCP clients like OpenCode and Claude Code, enabling navigation, inspection, clicking, filling, and human-gated actions on JavaScript-heavy or login-walled pages.

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

Enables any coding agent to use the user's existing Chrome profiles and logins to open tabs, read pages, fill forms, click through flows, and take screenshots.

Enables enterprise AI agents to discover and invoke MCP tools, resources, and prompts across GitHub, ITSM, and business systems through a policy-controlled gateway with human approval and auditability.