ArtRest: A Ruby REST client for Artifactory

Клиент для веб-сервиса Типографа студии Лебедева

AnotherService.com CLI

Simple AS2 server and client implementation. Follows the AS2 implementation from http://as2.mendelson-e-c.com

Ruby API wrapper for Asana, supporting workspaces, projects, tasks, tags, users and stories

Asciidoctor-Confluence allows to parse asciidoc files, transform them into HTML and then push them into a Confluence

This is an implementation of asciidoctor/asciidoctor-confluence. Asciidoctor-Confluence allows to parse asciidoc files, transform them into HTML and then push them into a Confluence

Asciidoctor-Confluence parse asciidoc and publish the document to confluence.

This is an implementation of asciidoctor/asciidoctor-confluence. Asciidoctor-Confluence allows to parse asciidoc files, transform them into HTML and then push them into a Confluence

Provides some functions of Chinese

Exposes the ask-computer tools (HistoryStatus, HistoryQuery, Screenshot, Click, Type, Key, InstallerStatus, InstallerSetup) as MCP tools. Coding agents like ZCode, Claude Code, or Cursor connect via the ask-computer-mcp stdio executable. The underlying Cua Driver remains the background daemon (cua-driver mcp); ask-computer provides the typed history and installer layer that plain cua-driver mcp does not.

Typed questions (Choice, Score, Noul) with calibrated probabilities and confidence. Ships with a TypeSafe/Jev provider. Swap providers via the DecisionProvider registry.

Provides authenticated Octokit client, context metadata, and error guide for AI agents.

Error context for agents via Honeybadger for the ask-rb ecosystem.

Supports OpenAI, Anthropic, Google Gemini + Vertex, Amazon Bedrock, Ollama (local), Mistral AI, and Cloudflare Workers AI + AI Gateway. One gem, all the models you need.

Error context for agents via Sentry for the ask-rb ecosystem.

Provides authenticated Slack client helper, context metadata, and error guide for AI agents.

Fetches a URL and converts its content to clean markdown for LLM consumption. A pluggable backend chain: pure Ruby httpx + Nokogiri + reverse_markdown by default, a Jina Reader fallback for JS-rendered or blocked pages, and a real-Chrome fallback (Ferrum) that renders JavaScript and lets auto-solving Cloudflare challenges complete. The capability layer only — tool framing (MCP servers, agent tools) is provided by the consumers.

A minimal MCP (Model Context Protocol) server that exposes ask_web_fetch as a callable tool over stdio. Designed for use with clients that support MCP (ZCode, Claude Code, etc.), it fetches a URL and returns clean markdown through the ask-web-fetch backend chain — fast pure-Ruby httpx fetch first, a real Chrome (launched or CDP-attached) for JS-rendered and challenge-gated pages, with Jina Reader and self-hosted Crawl4AI in between. Terminal failures (parked domains, empty pages, dead 4xx) surface as their deterministic error class, so clients never retry the unretryable. The tool shell (name, schema, call) lives here, wrapping the Ask::WebFetch library.

Web search returning results as clean numbered markdown. Two selectable backends: a local SearXNG instance (SEARXNG_URL, the default path for everyone) and TinyFish's hosted API (opt-in: SEARCH_BACKEND=tinyfish plus a TINYFISH_API_KEY or ask-auth credentials key). The capability layer (WebSearch.search); the native Ask::Tools::WebSearch agent tool is an optional integration that registers when ask-tools is present.