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Validates Mermaid diagrams with comprehensive grammar parsing supporting 28+ diagram types. Processes markdown files, ZIP archives, and direct input with detailed error reporting and enterprise-grade performance capabilities.

Enables querying and analysis of FedRAMP documentation, compliance requirements, and security controls through structured tools that search markdown guidance, analyze FRMR datasets, and track regulatory changes.

Enables AI to read Feishu documents, send messages, and manage calendars with a focus on Chinese users and security.

Enables AI tools to extract Feishu documents (Docx/Wiki) via Feishu Open API and convert them to Markdown format with local image downloading and authentication.

Enables progressive discovery and management of FHIR healthcare resources through intent-based grouping, with support for creating/validating resources, converting between formats, and transforming medical PDFs to FHIR DocumentReference resources.

Provides AI assistants with structured access to complete Figma developer documentation, including Plugin, Widget, and REST APIs. It enables users to search and read over 600 documentation pages to facilitate Figma-related development tasks.

A Python-based MCP server that enables users to view, search, and edit Figma files and Notion documents through natural language commands. It features specialized tools for automated Figma design generation from text descriptions and integrated project tracking across Figma, Notion, and Asana.

Converts Figma to Markdown. Strips out visual noise to drastically reduce LLM token consumption.

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.

File Format Converter (Pandoc) MCP

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。

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes via URIs and tools.

Integrates with FitSlot API to manage support tickets, provide chatbot assistance with FAQs, and analyze bioimpedance PDF documents with health metrics and personalized recommendations.

Provides documentation lookup and search capabilities for FiveM development, including GTA V native functions, QBCore events, and ox_lib exports. Enables developers to query documentation and generate resource templates through natural language.

Enables direct interaction with FoundryVTT virtual tabletop servers via native WebSocket protocol. Supports retrieving, creating, modifying, and deleting game documents like actors, items, scenes, and journal entries without requiring additional modules.

Provides programmatic access to GameMaker Language (GML) documentation through MCP tools for function lookup, documentation search, and comprehensive coding guidance. Includes built-in GameMaker documentation with no additional setup required.

Enables users to search and fetch Google's Gemini API documentation directly within an MCP-compliant environment. It provides structured access to guides and references for features like function calling, embeddings, and text generation.

Enables AI assistants to generate professional PDF documents from markdown content with advanced typography, syntax highlighting, math equations, dark mode, and customizable styling options.

Fetches package documentation from multiple language ecosystems (JavaScript, Python, Java, Ruby, PHP, Rust, Go, Swift, etc.) without requiring API keys, extracting READMEs, API docs, and code examples for LLM analysis.

Enables AI models to interact with the Get笔记 (GetNotes) platform via its Open API. It supports managing notes, organizing knowledge bases, and handling tags through natural language commands.

Integrates with Get Notes API to search and retrieve knowledge from configured knowledge bases with AI-powered synthesis and raw recall capabilities.