62,621 results in MCPs, Infrastructure, Workflows, Hooks · page 4 of 2,610
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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.
An approach to working with Skills that uses hooks to make Claude select and activate the right Skill for the current context. Documented, and adaptable to other projects and workflows.
Integrates terminal and filesystem capabilities for executing system commands, managing processes, and performing advanced file operations on the local system.
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use. Resources are in Korean but can produce high-quality English-language output.
35+ short Claude Code tips covering voice input, system prompt patching, container workflows for risky tasks, conversation cloning, multi-model orchestration with Gemini CLI and more, with demos, working scripts and a plugin.
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.
An autonomous AI development framework that enables Claude Code to work iteratively on projects until completion. Features intelligent exit detection, rate limiting, circuit breaker patterns, and comprehensive safety guardrails to prevent infinite loops and API overuse. Built with Bash, integrated with tmux for live monitoring, and includes 75+ comprehensive tests.
Provides a secure bridge to your WhatsApp account, enabling message search, contact management, and sending capabilities while keeping all data stored locally on your device.
Interactive plan review UI that intercepts ExitPlanMode via hooks, letting users visually annotate plans with comments, deletions, and replacements before approving or denying with detailed feedback.
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.
Enables bidirectional communication with Figma designs through a plugin and WebSocket server, allowing creation and manipulation of design elements directly from conversations.
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.
Use as the OSS self-hosted sandbox when you need to run agent code on your own infra: libkrun-based microVM isolation with no per-sandbox vendor cost, the escape hatch from a managed runtime at high volume.