Knot — AI skill for Claude Code
AI-powered API documentation hub with MCP integration.
How to install Knot
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open ProjAnvil/Knot and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Knot does
AI-powered API documentation hub with MCP integration. Built by AI, designed for AI - enabling Claude and other AI assistants to seamlessly discover, understand, and interact with your APIs through the Model Context Protocol.
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README
Knot
A modern, lightweight API documentation management system with AI assistant integration.
[Features](#features) • [Quick Start](#quick-start) • [Documentation](#documentation) • [Development](#development) • [Contributing](#contributing)
**[中文文档](./doc/README_zh.md)** | English
Overview
Knot is a comprehensive API documentation platform that helps teams organize, document, and share their API specifications. Built with Go and Svelte 5, it offers a fast, intuitive interface with native AI assistant support through Model Context Protocol (MCP).
Key Features
- 📚 Organized API Management - Group and categorize API endpoints with hierarchical structure
- 🔍 Fuzzy Search - Quickly find APIs across all groups with intelligent search
- 📝 Rich Documentation - Document APIs with markdown, request/response schemas, and examples
- 🎨 Syntax Highlighting - Beautiful JSON syntax highlighting with dark mode support
- 🔄 Drag & Drop Interface - Intuitive API reordering and organization
- 🌐 Multilingual - Built-in support for English and Chinese
- 🗄️ Flexible Database - Choose between SQLite, PostgreSQL, or MySQL
- 🤖 AI Integration - Native MCP server for Claude and other AI assistants
- ⚡ High Performance - Go-powered backend with minimal resource usage
- 🚀 Zero Dependencies - Single binary deployment with embedded frontend
Quick Start
Docker
The fastest way to get started — a single command brings up the full stack with PostgreSQL, no local Go/bun toolchain required:
# PostgreSQL stack on http://localhost:3000
docker compose -f docker-compose.pg.yml up -d
# or the MySQL stack on http://localhost:3001
docker compose -f docker-compose.mysql.yml up -d
See [Docker Deployment](#docker-deployment) for credential overrides and SQLite standalone mode.
Installation
Download the latest release for your platform:
# macOS (Apple Silicon)
curl -LO https:/
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