This server enables AI to match Figma design nodes with React components from Storybook and generate usage code examples, facilitating design-to-code workflows.
Enables automated export, compression, and cloud upload of Figma design assets by simply providing Figma links. Supports batch processing of nodes and children, returning structured data with publicly accessible image URLs.
Get product information, features, pricing, workflow guides, and FAQs for Figma to Azure — the Figma plugin that creates Azure DevOps work items directly from your designs with automatic screenshot attachment. Search across features, use cases, comparisons (vs manual handoff, vs Zeplin), and pricing plans. Ideal for teams using Figma and Azure DevOps who want to fix broken design handoff.
Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.
Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.
Automates the conversion of Figma designs into TypeScript React components and integrates with GitHub to create pull requests for the generated code. It includes visual regression testing with Playwright and accessibility validation to ensure implementations match the original designs.
Enables AI assistants to build and manage Filament admin panels by providing component references, implementation plans, and official documentation lookups. It supports Laravel's Filament framework versions 4.x and 5.x through specialized tools and prompts.
The fileAI MCP Server offers a robust set of tools to work with the fileAI file processing pipeline. It allows for uploading files, performing Optical Character Recognition (OCR), classifying documents, and extracting structured data. The server leverages the Model Context Protocol (MCP) to provide
An MCP server that provides multiple file conversion tools for AI agents, supporting various document and image format conversions including DOCX to PDF, PDF to DOCX, image conversions, Excel to CSV, HTML to PDF, and Markdown to PDF.
MCP server that enforces pre-read checks and detailed commit documentation
Enables searching for files by name fragments via JSON-RPC or an HTTP REST API, with options for direct use or integration with other tools like VS Code.
全面解析File Find MCPMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,File Find MCP能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
全面解析File Format Converter (Pandoc)MCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,File Format Converter (Pandoc)能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
安装状态
已补齐
命令预览
npx -y @smithery/cli install mcp-pandoc --client claude
Enables read-only access to FileMaker databases through the Data API, allowing users to retrieve records, analyze metadata, search across layouts, and infer relationships while maintaining data security.
Provides secure file system operations for AI assistants including directory listing, file reading/writing, deletion, searching, and copying. Features safety controls like path validation, permission checks, and file size limits.
Enables comprehensive file and document operations including image compression, archive creation/extraction, file copying/moving, PDF merging/splitting/conversion, SQLite database queries, and advanced text processing.
Provides tools for common file processing operations including reading files, listing directories, searching across files, getting file info, and counting lines with built-in security features like path traversal protection.
File Organizer AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
Enables intelligent file searching in local directories using natural language queries. Supports searching by file type, filename patterns, and content across multiple formats including PDF, Word, Excel, and text files with AI-powered relevance scoring.
Files.com MCP allows your AI model, like ChatGPT or Claude, to use Files.com directly. Want to move files, copy files, or perform real File Transfer in the Cloud and to/from on-premise servers via AI? You're in the right place.



