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開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers
A Model Context Protocol server implementation for interacting with Salesforce through its REST API using jsforce.
A specialized MCP server for Payload CMS 3.0 Validate code, generate templates, and scaffold projects following best practices
An open-source Model Context Protocol server that gives AI agents (Claude, ChatGPT, Cursor, and others) direct read/write access to Sitecore.
Open-source AI agent harness in native Rust — GUI, CLI, headless, and webapp from one binary. Multi-provider, MCP, skills, plugins, agent teams.
Production-grade MCP server giving Claude 27 security intelligence tools across 21 APIs — CVE lookup, EPSS scoring, CISA KEV, MITRE ATT&CK, Shodan, VirusTotal, and more.
MCP Server For Turkish Legal Databases
A clojure-sdk for creating Model Context Protocol servers!
The connects your Schwab account to LLM-based applications (like Claude Desktop or other MCP clients), allowing them to retrieve market data, check account status, and (optionally) place orders under...
🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.
TLDR: Use Claude to control or ask questions about your Altium project. This is a Model Context Protocol (MCP) server that provides an interface to interact with Altium Designer through Python.
A Model Context Protocol (MCP) server that enables AI assistants to interact with Vikunja task management instances.
Production-grade MCP server and AI tools for the Godot engine. A Snap to install. Totally free and fun.
Agent Skills
Shiny for Python is the best way to build fast, beautiful web applications in Python. You can build quickly with Shiny and create simple interactive visualizations and prototype applications in an...
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...
Adala is an **utonomous **ta (**abeling) **gent framework.
Beautiful UI components built for Better Auth.
KAI Scheduler is a robust, efficient, and scalable Kubernetes scheduler that optimizes GPU resource allocation for AI and machine learning workloads.
Your AI skills and agents, finally organized.
Model export recipes, Python primitives, and Swift runtime utilities for building on-device AI with Core AI.
本项目是基于吴恩达老师在 DeepLearning.AI 平台推出的 agent-skills-with-anthropic 系列课程的中文学习资料整理项目。我们致力于为中文学习者提供高质量的课程内容翻译、系统的知识点梳理以及详细的示例代码解读，帮助大家更轻松地掌握 Agent Skills。
A collection of AI agent skills focused on resume optimization, job applications, and career development.
For more advanced capabilities and end-to-end machine learning, visit www.k-dense.ai.
upfetch is an advanced fetch client builder with standard schema validation, automatic response parsing, smart defaults and more.
📚 Check out the comprehensive docs with detailed guides, examples, and best practices!