Update README.md

Subject: Request to Add Two MCP Servers: Deepseek R1 and Qwen Max

Dear MCP Team,

I am writing to request the addition of two Model Context Protocol (MCP) servers I have developed to enhance Claude's capabilities:

1. Deepseek R1 MCP Server
- Repository: https://github.com/66julienmartin/MCP-server-Deepseek_R1
- Features:
  * Implements the Deepseek R1 language model (8,192 token context window)
  * Optimized for reasoning and complex tasks
  * Full TypeScript implementation with robust error handling
  
2. Qwen Max MCP Server
- Repository: https://github.com/66julienmartin/mcp-server-qwen-max
- Features:
  * Implements Alibaba's Qwen model family (Max/Plus/Turbo)
  * Extensive context windows (up to 1M tokens)
  * TypeScript-based with comprehensive error handling
  
Both servers are:
- Built with Node.js/TypeScript for optimal Claude Desktop integration
- Well-documented with detailed setup instructions
- Thoroughly tested for stability
- MIT licensed
- Available through Smithery for easy installation

I believe these servers would provide valuable additional capabilities to Claude users, particularly for complex reasoning tasks and long-context applications.

I would be happy to provide any additional information or make any necessary adjustments to meet your requirements.

Thank you for considering my request.

Best regards,
Kamel IRZOUNI

Author: 66julienmartin

README.md

@@ -92,6 +92,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Contentful-mcp](https://github.com/ivo-toby/contentful-mcp)** - Read, update, delete, publish content in your [Contentful](https://contentful.com) space(s) from this MCP Server.
 - **[Data Exploration](https://github.com/reading-plus-ai/mcp-server-data-exploration)** - MCP server for autonomous data exploration on .csv-based datasets, providing intelligent insights with minimal effort. NOTE: Will execute arbitrary Python code on your machine, please use with caution!
 - **[Dataset Viewer](https://github.com/privetin/dataset-viewer)** - Browse and analyze Hugging Face datasets with features like search, filtering, statistics, and data export
+- **[Deepseek_R1](https://github.com/66julienmartin/MCP-server-Deepseek_R1)** - A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)
 - **[Descope](https://github.com/descope-sample-apps/descope-mcp-server)** - An MCP server to integrate with [Descope](https://descope.com) to search audit logs, manage users, and more.
 - **[DevRev](https://github.com/kpsunil97/devrev-mcp-server)** - An MCP server to integrate with DevRev APIs to search through your DevRev Knowledge Graph where objects can be imported from diff. sources listed [here](https://devrev.ai/docs/import#available-sources).
 - **[Dify](https://github.com/YanxingLiu/dify-mcp-server)** - A simple implementation of an MCP server for dify workflows.
@@ -137,6 +138,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Placid.app](https://github.com/felores/placid-mcp-server)** - Generate image and video creatives using Placid.app templates
 - **[Playwright](https://github.com/executeautomation/mcp-playwright)** - This MCP Server will help you run browser automation and webscraping using Playwright
 - **[Postman](https://github.com/shannonlal/mcp-postman)** - MCP server for running Postman Collections locally via Newman. Allows for simple execution of Postman Server and returns the results of whether the collection passed all the tests.
+- **[Qwen_Max](https://github.com/66julienmartin/MCP-server-Qwen_Max)** - A Model Context Protocol (MCP) server implementation for the Qwen models.
 - **[Reaper](https://github.com/dschuler36/reaper-mcp-server)** - Interact with your [Reaper](https://www.reaper.fm/) (Digital Audio Workstation) projects.
 - **[RAG Web Browser](https://github.com/apify/mcp-server-rag-web-browser)** An MCP server for Apify's open-source RAG Web Browser [Actor](https://apify.com/apify/rag-web-browser) to perform web searches, scrape URLs, and return content in Markdown.
 - **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.