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MCP Servers

JSReverser-MCP 是一个面向 JavaScript 逆向分析的 MCP 工具,专门用于帮助开发者在真实浏览器环境中高效定位前端核心逻辑。它 将脚本检索、断点调试、函数 Hook、网络请求追踪、调用链分析、混淆还原和风险评估整合为统一能力,可直接接入 Claude、 Codex、Cursor 等支持 MCP 的客户端。

This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsheets.

Not a path. Not a URL. A handoff that answers back.

CodeGraph transforms your entire codebase into a semantically searchable knowledge graph that AI agents can actually reason about—not just grep through.

一个将ACE(Augment Context Engine) 做成MCP的项目

Give your AI agent eyes for PDFs — structured text, tables, OCR, visual evidence, and page-level citations via MCP. Native Rust, local-first.

AgentKit: Build multi-agent networks in TypeScript with deterministic routing and rich tooling via MCP.

High-quality parsing 257 languages/grammars through tree-sitter AST analysis, in-process resolvers, enhanced with compiler-grade resolution for Python, TypeScript / JavaScript, PHP, C#, Go, C, C++,...

Vibetest MCP - automated QA testing using Browser-Use agents

Token-efficient MCP adapter for Pi coding agent

MCP server that gives AI assistants the power to control a web browser.

Citra — PDF answers with page-level proof. Local-first structured text, tables, OCR, visual evidence, and citations via MCP, CLI, and SDK.
Agent Skills

Stage-aware security skills for Codex that surface planning gaps, offer opt-in reviews, and help teams ship safer code without pretending to certify security.

A composable library of skills and rules for AI coding agents. Covers repo memory, long-horizon execution, multi-agent coordination, TDD, security review, and delivery automation.

MBA AI Agent课程:2天集中培训,从LLM基础到多智能体系统

Copy this repo into any project. Claude Code, Codex, and other agentic tools then follow the same gated process — spec, plan, task cards, implementation, verification, review — before code reaches...

Production-ready FastAPI + Next.js project generator with AI agents, RAG, and 20+ enterprise integrations.

The open sharing protocol for the agentic era. A Linux Foundation AI & Data Project

这个仓库源于我使用 Codex 的日常需求。写论文不是单点任务,而是一条从构思、实验、写作、审稿到 rebuttal 的长链路;每一步都需要 AI 有边界、有证据、懂学术表达。因此这个仓库把 组织成当前 7 个模块、27 个可触发 Skills:

本文件是** —— banner + badges + 信任面 + 9 阶段流水线速览 + 74 行合集总表。 每个合集的**在 docs/CONTENT_ZH.md(扩展正文,总表行内的 → 直接跳转到对应锚点)。 English version: README-en.md · 中文扩展正文:docs/CONTENT_ZH.md · README-zh-CN.md 已弃用(重定向占位)

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Found a bug or need help? · Open an issue · Discussions

A collection of interesting libraries and tools for Avalonia project.

Turn the object in an attached image into a quality-gated, animation-ready procedural Three.js model built entirely with code.