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MCP Servers
MCP server: Project PLATEAU 3D city data as scene-editing and glTF export tools for creative LLM agents.

Gemini Vision & Image Generation MCP for Claude Desktop and Claude Code

Ever tried using Cursor or Claude to write Playwright tests? Yeah, it's kind of a mess.

A Multi Agent Memory MCP That Connect Agents Across Systems and Machines

MCP server for Google Gemini image generation with configurable model support.

MCP MySQL Server 是一个基于 @modelcontextprotocol/sdk 的 MySQL 工具服务,支持 SQL 查询、表结构获取、连接检测等功能,适用于 AI 代理、自动化工具等场景。

is a media-generation agent: generate images, video, and audio, transcribe, render HTML, search the web, run code, and chain multi-step media operations — from any MCP client.

MCP server for Fly.io CLI integration with Claude Desktop

I've been running this Gemini MCP server in my Claude Desktop setup for months. It's one of the few I leave on permanently — not because Gemini replaces Claude, but because grounded search, image...

The jMRI (jMunch Retrieval Interface) specification — an open interface standard for token-efficient context retrieval in MCP servers.

Review Analyzer — agent-native VOC for e-commerce. 6 MCP tools, ASIN or CSV input, black-gold dashboard. Backed by Shulex VOC OpenAPI (10 markets).

A standalone local-only Python MCP server that gives any IDE persistent, workspace-isolated memory. works with any IDE supporting MCP servers
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.