Claude Desktop Install Guide
Desktop client with local MCP configuration support.
MCP Servers
Automation-ready anti-detect browser workspace with isolated profiles, REST API, MCP, Docker, and Playwright control.
Prompt-based frameworks hope the LLM follows instructions. This one blocks the call if it doesn't.
🚀 You're viewing the bleeding-edge dev docs! For other versions, check out the release/* branches.
AI-powered browser automation for Claude Code by DebugBase
swagger-mcp is a tool that reads a Swagger 2.0 or OpenAPI 3.0 specification and dynamically generates MCP tools at runtime — one tool per API endpoint.
用 Claude Code 直接控制你的 TradingView 桌面版。讀圖、改圖、寫 Pine Script、跑晨間掃描——全部用對話完成。
An MCP server for reading, rendering, and searching PDF files. Built with PyMuPDF and PyMuPDF4LLM.
3 collaboration commands for Claude Code that use the Codex MCP server to generate parallel plans, validate plans, and brainstorm ideas.
My curated Pi distribution: a ready-to-run coding-agent CLI with MCP, LSP, skills, recall, redaction, telemetry, team mode, prompt presets, and other handy extensions prewired.
Install a skill. As the agent interacts with a website, it automatically discovers APIs and binds them with browser workflows into reusable capabilities.
本 MCP 的作用是在不中断 MIMO 2.5 Pro 主模型对话上下文的前提下，通过 MCP 工具调用 MIMO 2.5 模型单独完成图片识别任务。
A persistent memory system that captures, classifies, synthesizes, and retrieves knowledge for AI agents. One brain, multiple agents, compounding intelligence.
Agent Skills
Collection of Apify agent skills
Cursor plugin specification and official plugins
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, slash commands, skills, hooks, subagents, agent teams, and MCP servers.
Provider-neutral Agent Skill for Codex, Claude Code, and agentic harness design.
-- Only 1.6% of Claude Code's codebase is AI decision logic. The other 98.4% is deterministic infrastructure -- permission gates, context management, tool routing, and recovery logic.
Open-Source Multi-Agent AI Assistant — Not Just Chat, an AI Team That Gets Things Done
Planby is a React based component for a quick implementation of Epg, schedules, live streaming, music events, timelines and many more ideas.
Nothing is more valuable than time and money. In a world of AI agents, that's speed and token spend. A well-designed CLI is muscle memory for an agent: no hunting through docs, no wrong turns, no...
Build tested agent skills and govern their lifecycle through a user-defined marketplace: evidence, discovery, updates, rollback, quarantine, and 17-platform distribution.
10 design principles for building agent-ergonomic apps.
Review pull requests for bugs, risky changes, missing tests, and release notes.
动手学CS146S中文版课程，包含assignments，vibe coding工具等，本项目将长期持续维护，致力于打造中文最好的vibe coding教程。