開発ツール
aiohttp-swagger
Auto-generate Swagger docs for your aiohttp Python API.
★ 187 スターNOASSERTION
ガイドを見る →cortexは、cortex-docsが公開しているオープンソースの開発ツールプロジェクトです（GitHub: cortex-docs/cortex）。GitHubスターは3,233、フォークは158で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月6日です。
Generate interactive API docs, typed SDKs in 12 languages and MCP servers from your API specs.
Decide the first concrete outcome you want from it, so you can pick the right example, template or mode instead of exploring everything at once.
Clone the repository (or install the published package) and skim its README quick start for the requirements for your platform.
Run the documented install step and set any required configuration — such as provider keys, data sources or local services — before the first run.
Execute the smallest documented example end to end, confirm the output is what you expected, then adapt it to your real data or workflow.
Interactive documentation, typed SDKs and an MCP server generated from the same source.
OpenAPI, AsyncAPI, GraphQL, gRPC, OpenRPC and Markdown inputs, combinable in one project.
TypeScript, Python, Go, Java, Kotlin, Ruby, PHP, C#, Rust, C++ and C.
HTTP, WebSocket, GraphQL, gRPC and JSON-RPC clients.
Add cortex.config.yml to a public repo and deploy to PROJECT.cortexdocs.dev.
The MCP server embeds specifications, SDK guides and project documentation for AI agents.
Get the source so you can inspect, configure and run it locally.
git clone https://github.com/cortex-docs/cortex.git
cd cortexCreate a folder, install the CLI globally, initialise from a spec and serve the docs.
mkdir petstore && cd petstore
npm install --global @cortex-docs/cli
cortex init petstore
cortex docs serve # open http://localhost:3012Publish docs and serve them over MCP straight from a repo URL with npx.
npx -y @cortex-docs/cli deploy https://github.com/OWNER/REPO
npx -y @cortex-docs/cli mcp-serve https://github.com/OWNER/REPOIt is maintained by cortex-docs on GitHub (cortex-docs/cortex), where the source, issues and releases live.
Yes — it is free and open source under the MIT licence, which permits use, modification and redistribution, including commercially, with attribution.
No — generation runs locally/from your repo; only optional hosted-docs deployment uses Cortex's free hosting.
Compared with Swagger UI / Redoc for docs or OpenAPI Generator for SDKs alone, cortex's distinguishing focus is: generate interactive API docs, typed SDKs in 12 languages and MCP servers from your API specs. Pick it when that focus matches your need; the alternative may suit you better if its broader or different scope is the priority.
Clone https://github.com/cortex-docs/cortex (or install its published package), follow the README quick start to install and configure it, then run the smallest documented example — the Run section on this page mirrors those steps.
Auto-generate Swagger docs for your aiohttp Python API.
Query the UniFi API docs through your AI agent.
Call MCP servers from TypeScript or the CLI — MCP tools disguised as a simple TypeScript API.
Generates agent-first Go CLIs (plus MCP servers) for any API or website — with local SQLite sync built in
Self-hosted TikTok and Douyin scraper API - no-watermark downloads, MCP and web console
Advanced HTTP API toolkit — no-code ML testing, AI docs and code generation.
LibreAIカタログに掲載された開発ツールプロジェクトの中で最もスターの多いもの — cortexが合わなかった場合に検討したい、現実的な候補リストです。
The open source coding agent
The model-definition framework behind modern AI — thousands of pretrained transformers for text, vision, and audio.
Anthropic's agentic coding tool that lives in your terminal and works across your whole codebase
Cross-platform desktop all-in-one manager for Claude Code, Codex, OpenCode and other coding agents
OpenAI's lightweight coding agent that runs locally in your terminal
カタログの中でcortexとスター数が近い開発ツールプロジェクト — 前後の棚もそのまま見て回れます。
Open Terminal — a computer you can curl: a sandboxed terminal API for AI agents, from Open WebUI.
@shadcn/lint — an agent-first linter for Tailwind design systems: you define what is allowed, and errors explain the fix in terms of your components
A real-time architectural sensor, in pure Rust, that helps AI agents keep code quality from slipping.
A lightweight, cross-platform code editor, built with Tauri (Rust and React) with Git support, AI agents, vim keybindings
Enterprise-grade codebase intelligence for AI agents — hybrid semantic search over 40M+ LOC, locally.
Build apps that AI can generate, humans can review, and teams can maintain. Config that works between code and natural language.