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62,900 results in MCPs, Skills, Infrastructure · page 4 of 2,621
bytebot
Bytebot open-source computer-use agent: a Docker-based Ubuntu desktop with AI-controlled mouse and keyboard; exposes an HTTP API for agents to send click, type, screenshot, and macro commands.
hangwin-chrome
Provides browser automation and semantic search capabilities through Chrome extension integration, enabling intelligent web element interaction, form filling, screenshot capture, and vector-based content indexing with transformer models for cross-platform web automation workflows.
assistant-ui
The MCP server tools have been designed to allow an agent to query the specific information it needs to complete an assistant-ui related task - for example: implementing chat components, integrating with different runtimes, understanding component architecture, and troubleshooting issues.
zilliz-claude-context
Provides semantic code search and indexing using vector embeddings and AST-based code splitting, enabling natural language queries across codebases with automatic file filtering and support for multiple embedding providers and vector databases.
fullstack-dev-skills
A Claude Code plugin with 65 skills for full-stack development across many frameworks, 9 workflow commands for Jira and Confluence, and a /common-ground command that lists Claude's assumptions about your project.
agricidaniel-claude-ads
Claude-first paid-media operations skill for Claude Code across 12 ad platforms (Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, X): source-grounded audits, deterministic scoring, versioned JSON reports, and capability-gated account changes.
Contributed by Sentinel
steel-browser
Open-source browser API optimised for AI agents. It provides session management, stealth settings, proxy rotation, and a REST/WebSocket interface on top of Chromium for cloud-scale agent browser access.
computer-agent-windows-desktop-control
Enables AI to control Windows desktop applications through UIAutomation and PyAutoGUI, providing capabilities for launching programs, executing commands, and performing mouse/keyboard actions with tree-based UI element identification.
repowise
Provides AI coding agents with five intelligence layers (dependency graph, git history, documentation, architectural decisions, code health) via nine MCP tools, enabling deep codebase understanding and reducing exploration cost.