diff --git a/README.md b/README.md
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@@ -627,7 +627,7 @@ Integration with communication platforms for message management and channel oper
 - [Beltran12138/wecom-docs-mcp-server](https://github.com/Beltran12138/wecom-docs-mcp-server) [![Beltran12138/wecom-docs-mcp-server MCP server](https://glama.ai/mcp/servers/Beltran12138/wecom-docs-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/Beltran12138/wecom-docs-mcp-server) 🐍 🏠 🪟 🐧 - WeCom (Enterprise WeChat) document operations via MCP: create, read, and edit Docs and Smartsheets (9 tools). Fills the doc-CRUD gap — existing WeCom MCP servers only support webhook messaging.
 - [areweai/tsgram-mcp](https://github.com/areweai/tsgram-mcp) - TSgram: Telegram + Claude with local workspace access on your phone in typescript. Read, write, and vibe code on the go!
 - [arpitbatra123/mcp-googletasks](https://github.com/arpitbatra123/mcp-googletasks) 📇 ☁️ - An MCP server to interface with the Google Tasks API
-- [BigCactusLabs/dead-letter](https://github.com/BigCactusLabs/dead-letter) 🐍 🏠 - Convert `.eml` email exports to clean Markdown with YAML front matter — thread splitting, signature stripping, attachment extraction, and calendar parsing. Tuned for feeding archived email into RAG/LLM pipelines.
+- [BigCactusLabs/dead-letter](https://github.com/BigCactusLabs/dead-letter) [![BigCactusLabs/dead-letter MCP server](https://glama.ai/mcp/servers/BigCactusLabs/dead-letter/badges/score.svg)](https://glama.ai/mcp/servers/BigCactusLabs/dead-letter) 🐍 🏠 - Convert `.eml` email exports to clean Markdown with YAML front matter — thread splitting, signature stripping, attachment extraction, and calendar parsing. Tuned for feeding archived email into RAG/LLM pipelines.
 - [Cactusinhand/mcp_server_notify](https://github.com/Cactusinhand/mcp_server_notify) 🐍 🏠 - A MCP server that send desktop notifications with sound effect when agent tasks are completed.
 - [carterlasalle/mac_messages_mcp](https://github.com/carterlasalle/mac_messages_mcp) 🏠 🍎 🚀 - An MCP server that securely interfaces with your iMessage database via the Model Context Protocol (MCP), allowing LLMs to query and analyze iMessage conversations. It includes robust phone number validation, attachment processing, contact management, group chat handling, and full support for sending and receiving messages.
 - [chaindead/telegram-mcp](https://github.com/chaindead/telegram-mcp) 🏎️ 🏠 - Telegram API integration for accessing user data, managing dialogs (chats, channels, groups), retrieving messages, and handling read status