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A TypeScript-based document processing server that supports various document formats (.docx, .pdf, .xlsx) and integrates with Model Context Protocol SDK for efficient document context management.

Connects AI assistants to DocuJSON for PDF generation, template management, and API operations via natural language. It enables tasks like creating invoices, managing templates, and viewing usage stats through MCP-compatible tools.

An MCP server that enables Claude to generate, search, and manage documentation for codebases using vector embeddings and semantic search, providing tools for creating user guides, technical documentation, code explanations, and architectural diagrams.

DocuMCP is an intelligent Model Context Protocol (MCP) server that revolutionizes documentation deployment for open-source projects. It provides deep repository analysis, intelligent static site generator recommendations, and automated GitHub Pages deployment workflows.

A comprehensive document analysis server that performs sentiment analysis, keyword extraction, readability scoring, and text statistics while providing document management capabilities including storage, search, and organization.

Enables AI assistants to fetch, index, and perform semantic RAG-based searches on API documentation from various sources. It provides tools for hybrid search and collection management, allowing users to access up-to-date documentation from projects like Gemini and FastMCP.

Enables AI assistants to generate professional documentation using structured templates based on the POWER framework. Provides access to standardized templates for README, architecture, API, components, and schema documentation.

Scrapes and indexes documentation websites to provide AI assistants with searchable access to documentation content, API references, and code examples through configurable URL crawling.

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.

Documentdb MCP

MCP server to interact with the DocumentDB database and perform basic operations. The module has some specifications, based on the business rule we are working on, to manage product catalogs.

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.

An MCP server that enables users to query documents from Google Drive using AI assistance, providing tools for searching vector databases and generating answers based on document content.