{
  "markdown": "# Qwen MCP Server\n\n> Qwen AI Chat Guide for Qwen3.6-Plus, Flash, and 1M Context\n\n[![MCP Badge](https://lobehub.com/badge/mcp/rocnubie-chat-mcp)](https://lobehub.com/mcp/rocnubie-chat-mcp)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](./LICENSE)\n[![Zero Config](https://img.shields.io/badge/setup-zero--config-7c3aed)](#installation)\n[![Node](https://img.shields.io/badge/node-%3E%3D18-339933?logo=node.js&logoColor=white)](https://nodejs.org)\n[![MCP](https://img.shields.io/badge/MCP-1.0-blue)](https://modelcontextprotocol.io)\n[![smithery](https://smithery.ai/badge/chat)](https://smithery.ai)\n\n<p align=\"center\"><a href=\"https://qwenchat.online\"><img src=\"./assets/hero.svg\" alt=\"Qwen\" width=\"720\" /></a></p>\n\nA Model Context Protocol server that exposes the canonical Qwen knowledge surface — models, prompts, and chat workflows, pricing, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.\n\nOfficial website: https://qwenchat.online\n\n## 💬 About Qwen\n\nQwen Chat (qwenchat.online) is a browser-based workspace for interacting with Alibaba's Qwen3 family of language models. The site provides direct chat access alongside a structured evaluation environment where users can test model capabilities across distinct task categories — code, documents, visual inputs, and web generation — without setting up local infrastructure. It is designed for people who want to move quickly from curiosity to practical assessment: load a file, paste a prompt, and observe how the model handles real work rather than toy examples.\n\n## Key Features\n\n- **1M context window** — carry multiple long files, research documents, or codebases in a single request without manually summarising between steps.\n- **Model lane comparison** — switch between Qwen3 Plus and Flash variants through the same interface to compare speed and quality tradeoffs on the same input.\n- **OpenAI and Anthropic API compatibility** — the underlying models expose both API surfaces, so existing tooling, SDKs, and prompt templates migrate with minimal changes.\n- **Benchmark transparency** — the site surfaces specific third-party scores (Terminal-Bench 2.0, OmniDocBench 1.5) rather than abstract capability claims, letting users calibrate expectations before committing to integration.\n- **Multimodal input support** — the chat accepts screenshots, PDFs, and diagrams, enabling visual reasoning tasks such as UI analysis, screen grounding, and document layout parsing.\n- **Preset task examples** — the interface ships with ready-made prompts covering code review, document analysis, and web prototyping, reducing the setup time needed to start a meaningful test.\n\n## Use Cases\n\n- **Code and repository work** — reviewing diffs, diagnosing build failures, or walking through a repository repair task using the extended context window to hold multiple files at once.\n- **Long-document analysis** — uploading policy documents, research papers, or technical specifications and asking structured questions without hitting context limits.\n- **Visual and UI tasks** — pasting screenshots for layout analysis, accessibility review, or screen grounding where the model identifies interactive elements by position.\n- **Rapid web prototyping** — generating functional HTML or component scaffolding from a brief description and iterating in the same session.\n- **API migration evaluation** — testing whether Qwen models can serve as a drop-in replacement for OpenAI or Anthropic endpoints in an existing workflow before switching production traffic.\n\n## Who Is It For\n\nQwen Chat is aimed primarily at developers, technical leads, and product teams who are already using language models in their day-to-day work and want to evaluate whether Qwen3 fits their stack. It suits teams that handle long documents or large codebases and need a context window beyond what standard tiers offer. It is also relevant to engineers assessing API compatibility before committing to a migration — the site provides enough structured evidence to make that call without requiring a full integration first. Individual developers building side projects or prototypes who want a capable model accessible directly from the browser will find it practical as well.\n\n## Tools\n\n### `list_models`\nReturn the canonical list of chat models exposed on the site, with capability notes. (Qwen)\n\n_Input:_ no parameters. _Returns:_ text/markdown.\n\n### `get_pricing`\nReturn the canonical pricing entry point for Qwen.\n\n_Input:_ no parameters. _Returns:_ text/markdown.\n\n### `get_official_links`\nReturn the canonical list of official links for Qwen (website, support, docs when available).\n\n_Input:_ no parameters. _Returns:_ text/markdown.\n\n## Resources\n\n- `site://chat/models` — Supported chat models and capability notes.\n- `site://chat/pricing` — Canonical pricing entry point.\n- `site://chat/faq` — Short FAQ generated from public site metadata.\n- `site://chat/links` — Canonical URLs to share with users.\n\n## Prompts\n\n### `tell_me_about_chat`\nSummarize what the site is, who it's for, and how it works. — Qwen\n\n### `start_chat_session_chat`\nOpen a chat-evaluation session against the site's models, with sensible defaults. — Qwen\n\n## Installation\n\n### Install via Smithery\n\n```bash\nnpx -y @smithery/cli install chat-mcp --client claude\n```\n\n(Replace `claude` with `cursor`, `windsurf`, or `continue` for those clients.)\n\n### Install from source\n\n```bash\ngit clone https://github.com/rocnubie/chat-mcp.git\ncd chat-mcp\npnpm install\n```\n\nThen add to your MCP client config (`claude_desktop_config.json` for Claude Desktop, `mcp.json` for Cursor / Windsurf / Continue):\n\n```json\n{\n  \"mcpServers\": {\n    \"chat-mcp\": {\n      \"command\": \"node\",\n      \"args\": [\n        \"/absolute/path/to/chat-mcp/src/index.mjs\"\n      ]\n    }\n  }\n}\n```\n\n### Debug with MCP Inspector\n\n```bash\nnpx @modelcontextprotocol/inspector node src/index.mjs\n```\n\n## Official Links\n\n- Website: https://qwenchat.online\n- Pricing: https://qwenchat.online/pricing\n- GitHub: https://github.com/Rocniubi/MSA\n- Support: support@qwenchat.online\n\n## Development\n\n```bash\npnpm install\npnpm start                 # run the server over stdio\n```\n\n## License\n\nMIT\n",
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