Enables AI assistants to navigate and query hierarchical documentation structures, supporting markdown files with YAML metadata and OpenAPI 3.x specifications. It features intelligent full-text search, metadata filtering, and a built-in web interface for both human and AI-driven documentation access.
A Model Context Protocol server that enables intelligent searching across documentation for 30+ programming libraries and frameworks, fetching relevant information from official sources.
Document Comparison AI - MCP server providing AI-powered tools and automation by MEOK AI Labs
Enables conversion between multiple document formats including Markdown, HTML, TXT, PDF, and DOCX with automatic format detection. Supports high-fidelity document transformation while preserving content integrity.
Converts Markdown text to Word documents via HTTP API, providing temporary download links with automatic file cleanup after 2 hours.
Extracts and stores documentation content from Microsoft Learn and GitHub URLs into PocketBase with full-text search, metadata preservation, and automatic collection management for easy retrieval and organization.
Enables AI agents to generate professional Word and PDF documents with support for Markdown, syntax highlighting, and smart pagination. It features automatic JSON detection and responsive A4 formatting for creating high-quality technical reports and manuals.
Provides tools and resources for managing in-memory documents, allowing users to read, edit, and list document contents via the Model Context Protocol. It includes features for formatting documents to Markdown and accessing document-specific resources.
Enables systematic document organization with PDF-to-Markdown conversion, intelligent categorization, and automated workflow management. Supports project documentation standards and provides complete end-to-end document processing pipelines.
Enables document-based question answering using OpenAI's GPT-4 with semantic search and embeddings. Upload PDF, TXT, or Markdown files and get answers strictly based on document content with source attribution and confidence scores.
A Python-based MCP server that enables document-based question answering by processing PDF, TXT, and Markdown files through OpenAI's API. It provides hallucination-free responses based strictly on document content using semantic search and includes a web interface for management.
Enables reading and processing various document formats including Word, PDF, RTF, and text files. Supports extracting media elements like images and links, with features for PDF page range selection and automatic text encoding detection.
Enables interaction with DocuSeal instances to manage document templates, create signature requests, and track submission statuses. It provides tools for uploading PDFs, managing submitters, and downloading signed documents via the DocuSeal API.
A FastMCP-powered microserver that allows users to programmatically generate well-formatted .docx documents with consistent styling, including features like titles, paragraphs, headings, citations, and footers.
A comprehensive Model Context Protocol server that processes Microsoft Word documents with full formatting support, enabling text extraction, HTML/Markdown conversion, structure analysis, and image extraction.
Enables Word document generation from templates using Jinja2 syntax and parsing of DOCX, PDF, and Excel files to extract structured content, metadata, and text.
PDF/DOCX/Excel generation from HTML/Markdown with stationery overlay, ZUGFeRD/XRechnung e-invoicing, digital signing, form filling, and AI receipt OCR with DATEV/SKR03 export.
A simple MCP server that enables AI assistants to perform domain research including availability checking, WHOIS lookups, DNS record retrieval, and finding expired domains without requiring API keys.
公开目录未提供摘要。
Enables integration with Dooray API for comprehensive project management including task operations, comment management, tag organization, search functionality, and user management. Supports task creation, modification, status updates, assignee management, and collaborative features through natural language interactions.
