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Add TRAECNclaw MCP server 🤖🤖🤖

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Luckycat133
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@@ -626,6 +626,7 @@ Full coding agents that enable LLMs to read, edit, and execute code and solve ge
- [juehang/vscode-mcp-server](https://github.com/juehang/vscode-mcp-server) 📇 🏠 - A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits.
- [kagan-sh/kagan](https://github.com/kagan-sh/kagan) [![kagan-sh/kagan MCP server](https://glama.ai/mcp/servers/kagan-sh/kagan/badges/score.svg)](https://glama.ai/mcp/servers/kagan-sh/kagan) 🐍 🏠 🍎 🪟 🐧 - AI-powered Kanban TUI and MCP server for autonomous development workflows. Orchestrates 14 coding agents across task tracking, isolated git worktrees, review, and merge.
- [louis030195/terminator-mcp-agent](https://github.com/mediar-ai/terminator/tree/main/terminator-mcp-agent) 🦀 📇 🏠 🍎 🪟 🐧 - Desktop GUI automation using accessibility APIs. Control Windows, macOS, and Linux applications without vision models or screenshots. Supports workflow recording, structured data extraction, and browser DOM inspection.
- [Luckycat133/traecnclaw-mcp-skill](https://github.com/Luckycat133/traecnclaw-mcp-skill) [![Luckycat133/traecnclaw-mcp-skill MCP server](https://glama.ai/mcp/servers/Luckycat133/traecnclaw-mcp-skill/badges/score.svg)](https://glama.ai/mcp/servers/Luckycat133/traecnclaw-mcp-skill) 📇 🏠 🍎 🪟 - Local stdio MCP server for TraeCN desktop automation. Supports task delegation, model control, dialog handling, code review, and unattended workflows.
- [maxim-saplin/mcp_safe_local_python_executor](https://github.com/maxim-saplin/mcp_safe_local_python_executor) - Safe Python interpreter based on HF Smolagents `LocalPythonExecutor`
- [micl2e2/code-to-tree](https://github.com/micl2e2/code-to-tree) 🌊 🏠 📟 🐧 🪟 🍎 - A single-binary MCP server that converts source code into AST, regardless of language.
- [misiektoja/kill-process-mcp](https://github.com/misiektoja/kill-process-mcp) 🐍 🏠 🍎 🪟 🐧 - List and terminate OS processes via natural language queries