add logisheets-mcp

README.md

@@ -1330,6 +1330,7 @@ Tools and integrations that enhance the development workflow and environment man
 - [linuxsuren/atest-mcp-server](https://github.com/LinuxSuRen/atest-mcp-server) 📇 🏠 🐧 - An MCP server to manage test suites and cases, which is an alternative to Postman.
 - [linw1995/nvim-mcp](https://github.com/linw1995/nvim-mcp) 🦀 🏠 🍎 🪟 🐧  -  A MCP server to interact with Neovim
 - [jarvisassistantux/loopsense](https://github.com/jarvisassistantux/loopsense) [![jarvisassistantux/loopsense MCP server](https://glama.ai/mcp/servers/jarvisassistantux/loopsense/badges/score.svg)](https://glama.ai/mcp/servers/jarvisassistantux/loopsense) 📇 🏠 - MCP server that closes the feedback loop for AI coding agents — CI monitoring, process watching, file changes, HTTP polling.
+- [logisky/logisheets-mcp](https://github.com/logisky/logisheets-mcp) [![logisky/logisheets-mcp MCP server](https://glama.ai/mcp/servers/logisky/logisheets-mcp/badges/score.svg)](https://glama.ai/mcp/servers/logisky/logisheets-mcp) 🎖️ 📇 🏠 🍎 🪟 🐧 - A real Excel-compatible spreadsheet engine for agents, over [LogiSheets](https://github.com/logisky/LogiSheets) (Rust, via WASM). Deterministic formulas the model does not compute in its head, named blocks addressed by (block, key, field) instead of coordinates so references survive inserted rows, whole-column field rules, batch scenario scans and goal-seek in a single call, and a genuine `.xlsx` at the end. Runs locally and opens no sockets. `npx logisheets-mcp`.
 - [lorenzo-cambiaghi/LynxMCP](https://github.com/lorenzo-cambiaghi/LynxMCP) [![lorenzo-cambiaghi/LynxMCP MCP server](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP/badges/score.svg)](https://glama.ai/mcp/servers/lorenzo-cambiaghi/LynxMCP) 🐍 🏠 🍎 🪟 🐧 - 100% local semantic code search for AI agents: AST-aware chunking (tree-sitter), hybrid BM25+dense retrieval, and a code knowledge graph (callers, inheritance, imports) over codebases, docs sites, and PDFs. Install via `pipx install lynx-mcp`.
 - [louis030195/gptzero-mcp](https://github.com/louis030195/gptzero-mcp) 📇 ☁️ 🍎 🪟 🐧 - AI detection for text content with GPTZero API. Detect AI-generated text, get confidence scores, multilingual support (French/Spanish), and detailed probability breakdowns.
 - [lpigeon/ros-mcp-server](https://github.com/lpigeon/ros-mcp-server) 🐍 🏠 🍎 🪟 🐧 - The ROS MCP Server supports robot control by converting user-issued natural language commands into ROS or ROS2 control commands.