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@@ -929,6 +929,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[mcp-sanctions](https://github.com/madupay/mcp-sanctions)** - Screen individuals and organizations against global sanctions lists (OFAC, SDN, UN, etc). Query by prompt or document upload.
 - **[mcp-screenshot-website-fast](https://github.com/just-every/mcp-screenshot-website-fast)** - High-quality screenshot capture optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks (1.15 megapixels) with configurable viewports and wait strategies for dynamic content.
 - **[mcp-server-leetcode](https://github.com/doggybee/mcp-server-leetcode)** - Practice and retrieve problems from LeetCode. Automate problem retrieval, solutions, and insights for coding practice and competitions.
+- **[MCPShell](https://github.com/inercia/mcpshell)** - Tool that allows LLMs to safely execute command-line tools, providing a secure bridge between LLMs and operating system commands.
 - **[Mcp-Swagger-Server](https://github.com/zaizaizhao/mcp-swagger-server)** (by zaizaizhao) - This MCP server transforms OpenAPI specifications into MCP tools, enabling AI assistants to interact with REST APIs through standardized protocol
 - **[MCP Dynamic Tool Groups](https://github.com/ECF/MCPToolGroups)** - Example MCP servers that use [annotated](https://github.com/spring-ai-community/mcp-annotations) Java interfaces/classes as 'tool groups'.  Using standard MCP annotations, service implementations can then, at runtime, be used to generate tool specifications, and then dynamically added or removed from MCP servers.   The functionality is demonstrated in a sample tool group, but can be similarly used for any API or service.
 - **[mcp-vision](https://github.com/groundlight/mcp-vision)** - An MCP server exposing HuggingFace computer vision models such as zero-shot object detection as tools, enhancing the vision capabilities of large language or vision-language models.