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MCP Servers
MCP is an open protocol that enables AI models to securely interact with local and remote resources through standardized server implementations.
A Model Context Protocol server for building Xcode projects directly from LLM applications
The Axiom MCP Server connects AI assistants to your Axiom observability data using the Model Context Protocol (MCP). This repository contains:
Run MATLAB® using AI applications with the official MATLAB MCP Server from MathWorks®. This MCP server for MATLAB supports a wide range of coding agents like Claude Code® and Visual Studio® Code.
Model Context Protocol server for fetching web content and processing images. This allows Claude Desktop (or any MCP client) to fetch web content and handle images appropriately.
A clojure-sdk for creating Model Context Protocol servers!
Welcome to the MCP Server Workshop! In this hands-on, instructor-led workshop, you'll build a fully functional Model Context Protocol (MCP) server from scratch using Java.
Bitbucket MCP - A Model Context Protocol (MCP) server for integrating with Bitbucket Cloud and Server APIs
Bringing the power of MCP to the web
Google Search Console Insights with Claude AI for SEOs
A Ruby Implementation of the Model Context Protocol
Chrome MCP Server is a Chrome extension-based Model Context Protocol (MCP) server that exposes your Chrome browser functionality to AI assistants like Claude, enabling complex browser automation,...
Agent Skills
Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB
Shell-related config files and scripts
GPT-Image-2 PPT Generator Skill for Creating Image-Based PowerPoint Presentations in Codex and Other Skill-Compatible Agents
Agent skill for beautiful, verifiable architecture, workflow, sequence, data-flow, and lifecycle diagrams—self-contained HTML with motion and crisp export.
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The open agent skills tool - npx skills
张雪峰.skill — 张雪峰的认知操作系统。高考志愿/考研/职业规划的实战思维框架。由女娲.skill生成。
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
The real-time engine for AI agents on the JVM. Tokens flow from the LLM runtime to the client through a broadcaster you can filter, gate, and observe — over WebSocket, SSE, long-polling, or gRPC, and...
DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.
Built for Codex, Claude Code, Gemini CLI and other coding-agent workflows. v0.1 is local-first and deterministic: it creates inspectable placeholder scene assets and an FFmpeg video without an API...
Please see https://fast-agent.ai for latest documentation.