Code Generation

Open-source VS Code and JetBrains extension that connects any LLM for autocomplete, chat, and inline editing with full model and context control.

Curated collection of .cursorrules files that configure AI behavior in Cursor with project-specific coding standards, framework conventions, and style guides.

C++ Programming best practices and coding rules for Cursor

Rust best practices for Solana smart contract development using Anchor framework and Solana SDK

TypeScript coding standards and best practices for modern web development

Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.

Your MCPs, supercharged. Find any tool instantly, execute with code mode, run on schedule, discover skills, load Photons, ready for any client. Smart loading saves tokens and energy. Instead of your AI juggling 50+ tools scattered across different MCPs, NCP gives it a single, unified interface with code mode execution, scheduling, skills discovery, and custom Photons. Your AI sees just 2-3 simple

This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol. The VRChat MCP server provides a way to access VRChat's API endpoints in a structured manner. It supports a wide range of functionalities, including user authentication, retrieving user and friend information, accessing

Packages generated wiki Markdown into a VitePress static site with dark theme, dark-mode Mermaid diagrams with click-to-zoom, and production build output. Use when the user wants to create a browsable website from generated wiki pages.

Give your AI agent PDF superpowers — in one command. Convert, extract, OCR, redact, sign, and fill documents from any coding agent. Quickstart • Workflows • Features • 40+ Agents • MCP & OpenClaw 1. Get a free API key → 2. Install & configure: 3. Ask your agent: That's it. Your agent now has full document processing capabilities — no MCP setup required. Works out of the box with 40+ AI coding

Stateful agent-to-agent communication client for the agent:// protocol. AGENIUM provides identity, discovery, and messaging for AI agents. Think of it as DNS + HTTP for agents — each agent gets a unique agent://name URI and can discover and communicate with other agents. Choose from 3 templates: echo (hello world), tools (tool-calling), api (REST gateway). - agent:// Protocol — Unique agent identi

Stop copy-pasting between AI models. Roundtable AI is a local MCP server that lets your primary AI assistant delegate tasks to specialized models like Gemini, Claude, Codex, and Cursor. Solve complex engineering problems in parallel, directly from your IDE. Key Features: - Context Continuity: Shared project context across all sub-agents - Parallel Execution: All agents work simultaneously - Model

Open-source Agent Skills for computational materials science and numerical simulation workflows. Give your AI coding agent domain expertise in numerical methods, simulation best practices, and scientific computing -- without re-explaining the same concepts every session. Skills are portable across Claude Code, Codex, Gemini CLI, Cursor, VS Code Copilot, and 20+ other compatible tools. - The Proble

MCP server for transferring conversation context between AI chats or different projects within the same AI. - Audit Logging (v0.7.0+): Optional structured JSONL logging for diagnostics (--audit flag) - Verbatim Conversation Saving (v0.6.1+): AI saves complete conversations without summarization or abbreviation - Merge Handoffs (v0.6.0+): Combine multiple related handoffs into one unified context -

gk is GitKraken on the command line. The core functionality is focused on "Work Items" which can be thought of as the feature or issue you are trying to tackle. This allows you to work with multiple repos at once and get the same UX as if you were in a monorepo. We also provide robust AI-powered commit messages and Pull Request generation. It also provides an MCP server that streamlines working wi

A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one. 1MCP (One MCP) is designed to simplify the way you work with AI assistants. Instead of configuring multiple MCP servers for different clients (Claude Desktop, Cherry Studio, Cursor, Roo Code, Claude, etc.), 1MCP provides a single, unified server. - 🔄 Unified Interface: Aggregates multiple MCP ser

A Model Context Protocol server for document format conversion using pandoc. This server provides tools to transform content between different document formats while preserving formatting and structure. Please note that mcp-pandoc is currently in early development. PDF support is under development, and the functionality and available tools are subject to change and expansion as we continue to impr

A Model Control Protocol (MCP) server for managing and serving dynamic prompt templates using elegant and powerful text template engine. Create reusable, logic-driven prompts with variables, partials, and conditionals that can be served to any compatible MCP client like Claude Code, Claude Desktop, Gemini CLI, VSCode with Copilot, etc. - MCP Compatible: Works out-of-the-box with any MCP client tha

MUST USE when reviewing ClickHouse schemas, queries, or configurations. Contains 28 rules that MUST be checked before providing recommendations. Always read relevant rule files and cite specific rules in responses.

Transform how you access and interact with your team's knowledge by connecting Claude, Cursor AI, and other AI assistants directly to your Confluence spaces, pages, and documentation. Get instant answers from your knowledge base, search across all your spaces, and streamline your documentation workflow. - Ask AI about your documentation: "What's our API authentication process?" - Search across all

A Mattermost integration that connects to Model Context Protocol (MCP) servers, leveraging a LangGraph-based AI agent to provide an intelligent interface for interacting with users and executing tools directly within Mattermost. - 🤖 Langgraph Agent Integration: Uses a LangGraph agent to understand user requests and orchestrate responses. - 🔌 MCP Server Integration: Connects to multiple MCP serve

Convert any source code repository into a searchable knowledge base with automatic chunking, embedding generation, and intelligent search capabilities. Now with MCP (Model Context Protocol) support for Claude Code and Cursor integration! 📦 Now available on npm! Install with: npm install -g @vezlo/src-to-kb After installation, you'll have access to these commands: - src-to-kb - Generate knowledge

The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,

Connect TrainingPeaks to Claude and other AI assistants via the Model Context Protocol (MCP). Query your workouts, analyze training load, compare power data, and track fitness trends through natural conversation. No API approval required. The official Training Peaks API is approval-gated, but this server uses secure cookie authentication that any user can set up in minutes. Your cookie is stored i