Claude Desktop 설치 가이드
로컬 MCP 설정을 지원하는 데스크톱 클라이언트.
MCP Servers
An MCP Server for Linkedin API
MCP server for the Loreto skill generation API
A high-performance image compression microservice based on MCP (Modal Context Protocol)
Most AI coding tools give you a result but no record of how you got there - no trail of decisions for teammates to follow, no way to continue work across sessions, and no framework for managing large...
A modular Python tool that converts WeChat Official Account (微信公众号) articles into clean Markdown files with locally downloaded images.
An MCP server that allows you to run Node.js scripts and npm commands, with permission prompts via node-notifier.
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.
A local-first, single-user AI partner you host yourself — no matter the model. It remembers, keeps a stable identity you author, and reaches back — all on your machine, with your data in a file you...
一个MCP服务
小叶发布器：连接浏览器登录态与 MCP/AI 客户端，一键提取文章并保存到公众号、知乎、掘金、CSDN 等平台草稿箱，适合自媒体作者和开发者本地自动化发布。
comprehensive Discord selfbot MCP server using discord.py-self
mcp server for rust code semantic hybrid search bm25 + embeddings with tree-sitter, gpu accelerated indexing and merkle tree updates
Agent Skills
- 🤝 团队与**达成合作，Supervisor-Skills 正式作为**的核心科研技能完成部署，驱动「」与「」两大官方能力，将本项目沉淀的科研方法论带给亿级用户。 - 🚀 ：新增 paper-writer（证据门控的论文正文写作）、paper-polish（忠于原意的语言润色）、deep-research（综述级文献调研）三个技能；intro-drafter...
A Claude Code plugin that maintains FILETREE.md — a one-line description per file with content hashes for staleness detection.
Point it at an existing site and it finds the generic patterns, the missing states, and the sloppy code, then fixes them in place without rewriting your project.
DeepClause Typescript DML SDK and runtime
of cursor/plugins/pstack — kept in sync for standalone use. See also backnotprop/bro, referenced by the /bro skill below.
A股全栈数据工具包 · 十一层架构 · 54端点 · 19数据源 · 零鉴权 | Full-stack China A-share data toolkit for AI agents — 11 layers, 54 endpoints, 19 sources, zero-auth
Structured workflow packs for AI coding assistants, with built-in conversation memory, project memory, and learning-oriented collaboration patterns.
FTE+AI is an end-to-end program execution framework that guides R&D organizations through the complete journey of vendor replacement—from initial planning through successful cutover and optimization.
AI-native quantitative research framework
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth.
Open-source Environment toolkit of claw-like agents, support task/harness generation and evaluation
Spec docs drift from code, or they bloat every PR. Skeeper picks neither.