Qwen MCP
Qwen AI Chat guide to Qwen3.6-Plus and qwen3.6-flash with practical notes on 1M context, coding
Open source Open in the app JSON README (API)
About
Qwen AI Chat guide to Qwen3.6-Plus and qwen3.6-flash with practical notes on 1M context, coding
Details
- Kind
- MCP servers
- Topic
- No topic detected
- Publisher
- rocnubie
- Origin
- official
- Category
- ferramentas
- Transport
- desconhecido
- Version
- 0.1.0
- Last push
- 2026-05-21T13:24:32Z
- Repository state
- ativo
- Language
- JavaScript
- License
- MIT
- Added
- 2026-08-29 04:01:18
- Updated
- 2026-08-29 04:01:18
- Origin id
io.github.rocnubie/chat-mcp
README
# Qwen MCP Server
> Qwen AI Chat Guide for Qwen3.6-Plus, Flash, and 1M Context
[](https://lobehub.com/mcp/rocnubie-chat-mcp)
[](./LICENSE)
[](#installation)
[](https://nodejs.org)
[](https://modelcontextprotocol.io)
[](https://smithery.ai)
<p align="center"><a href="https://qwenchat.online"><img src="./assets/hero.svg" alt="Qwen" width="720" /></a></p>
A 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.
Official website: https://qwenchat.online
## 💬 About Qwen
Qwen 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.
## Key Features
- **1M context window** — carry multiple long files, research documents, or codebases in a single request without manually summarising between steps.
- **Model lane comparison** — switch between Qwen3 Plus and Flash variants through the same interface to compare speed and quality tradeoffs on the same input.
- **OpenAI and Anthropic API compatibility** — the underlying models expose both API surfaces, so existing tooling, SDKs, and prompt templates migrate with minimal changes.
- **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.
- **Multimodal input support** — the chat accepts screenshots, PDFs, and diagrams, enabling visual reasoning tasks such as UI analysis, screen grounding, and document layout parsing.
- **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.
## Use Cases
- **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.
- **Long-document analysis** — uploading policy documents, research papers, or technical specifications and asking structured questions without hitting context limits.
- **Visual and UI tasks** — pasting screenshots for layout analysis, accessibility review, or screen grounding where the model identifies interactive elements by position.
- **Rapid web prototyping** — generating functional HTML or component scaffolding from a brief description and iterating in the same session.
- **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.
## Who Is It For
Qwen 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.
## Tools
### `list_models`
Return the canonical list of chat models exposed on the site, with capability notes. (Qwen)
_Input:_ no parameters. _Returns:_ text/markdown.
### `get_pricing`
Return the canonical pricing entry point for Qwen.
_Input:_ no parameters. _Returns:_ text/markdown.
### `get_official_links`
Return the canonical list of official links for Qwen (website, support, docs when available).
_Input:_ no parameters. _Returns:_ text/markdown.
## Resources
- `site://chat/models` — Supported chat models and capability notes.
- `site://chat/pricing` — Canonical pricing entry point.
- `site://chat/faq` — Short FAQ generated from public site metadata.
- `site://chat/links` — Canonical URLs to share with users.
## Prompts
### `tell_me_about_chat`
Summarize what the site is, who it's for, and how it works. — Qwen
### `start_chat_session_chat`
Open a chat-evaluation session against the site's models, with sensible defaults. — Qwen
## Installation
### Install via Smithery
```bash
npx -y @smithery/cli install chat-mcp --client claude
```
(Replace `claude` with `cursor`, `windsurf`, or `continue` for those clients.)
### Install from source
```bash
git clone https://github.com/rocnubie/chat-mcp.git
cd chat-mcp
pnpm install
```
Then add to your MCP client config (`claude_desktop_config.json` for Claude Desktop, `mcp.json` for Cursor / Windsurf / Continue):
```json
{
"mcpServers": {
"chat-mcp": {
"command": "node",
"args": [
"/absolute/path/to/chat-mcp/src/index.mjs"
]
}
}
}
```
### Debug with MCP Inspector
```bash
npx @modelcontextprotocol/inspector node src/index.mjs
```
## Official Links
- Website: https://qwenchat.online
- Pricing: https://qwenchat.online/pricing
- GitHub: https://github.com/Rocniubi/MSA
- Support: support@qwenchat.online
## Development
```bash
pnpm install
pnpm start # run the server over stdio
```
## License
MIT