Document Processing MCP Repositories

Transforms Markdown documents into visually appealing formatted content for WeChat, enhancing the efficiency of layout creation. Users can easily create cleanly styled content by utilizing basic Markdown syntax.

Enables AI agents to retrieve documents from a vector database using Retrieval-Augmented Generation (RAG) techniques. Integrates with GitHub to process Move files and incorporates a language model for generating responses based on retrieved information.

Retrieve, search, and summarize meeting transcripts. Manage transcripts with advanced search capabilities and generate concise summaries in various formats.

Access and manage Anytype data, including spaces, objects, and templates. Perform searches, create and delete spaces, and export objects in markdown format.

Extract audio from various video platforms like YouTube and TikTok, and convert the audio to text using multiple transcription services. Supports asynchronous processing and speaker separation for enhanced video content analysis.

Retrieve and interact with documentation databases using hybrid semantic and keyword search. Automatically index and reindex various file types while supporting live file watching and low-latency document querying through a FastMCP tools API.

Manage and summarize text notes efficiently with this MCP server, which supports creating, accessing, and summarizing notes through unique URIs. It integrates note management and summarization capabilities for enhanced workflows with LLMs.

Integrates real-time web search and intelligent data extraction to enhance AI assistants with up-to-date information and sophisticated filtering capabilities. Supports domain-specific data retrieval and processing features for improved AI workflows.

Generate detailed and structured Product Requirements Documents (PRDs) while validating them against industry standards and utilizing a library of customizable templates for documentation.

Integrate documentation directly into conversations by utilizing MCP resources for chat applications. This server enhances interactions by providing relevant documentation content as part of the dialogue.

Enables interaction with Microsoft 365 services through the Graph API, allowing management of Excel files, calendar events, emails, and OneDrive files securely using the Microsoft Authentication Library.

Analyzes and enhances the quality of documentation, specifically README files, by providing insights and suggestions for improvement. Utilizes advanced neural processing techniques for thorough evaluation and visual analysis of documentation elements.

Automatically generates structured release notes by detecting differences between Git repository tags and saves the output in Markdown format. Provides customizable templates for categorizing new features, improvements, and bug fixes to enhance the release documentation process.

Provides read-only access to Notion content, enabling retrieval of pages, blocks, databases, comments, and properties with optimized performance. Focuses on minimizing API calls and supports parallel processing for efficient data acquisition.

Analyze medical reports and symptoms to gain health insights and suggestions, providing detailed medicine information tailored to individual needs with bilingual support in English and Bengali.

Integrates multiple AI models and implements retrieval-augmented generation (RAG) alongside large language models (LLMs). Supports PDF and OCR processing for enhanced data handling while providing a simplified setup for backend and frontend deployment.

Integrate large language models with Tencent Cloud Object Storage (COS) and Data Insight (CI), enabling file management, automated cloud data handling, and various image and video processing tasks. Supports natural language-based metadata search and efficient backup workflows.

Efficiently interacts with JSON files by splitting, merging, and validating data based on specified conditions. Designed for seamless integration with language models to automate JSON data manipulation within development environments.

Efficiently manage and retrieve documents using Apache Lucene with a RESTful API for complex querying and document management tasks. Supports adding, updating, deleting, and querying documents while utilizing Lucene's powerful indexing features.

Enables interaction with Outline's document management services through natural language commands for searching, creating, and managing documents. Facilitates tasks like reading document content and managing comments within a structured collection.

Manipulate and visualize PDF forms by extracting field information and highlighting form fields for analysis. Streamline PDF workflows using a toolkit built with MCP and PyMuPDF.

Integrate Confluence Wiki content with AI models for enhanced analysis and interaction. Convert Wiki content to Markdown format and securely manage access to your Wiki data through an easy configuration interface.

AI-powered service for generating PowerPoint presentations based on themes or uploaded documents, with features for online editing and downloading final outputs.

Enables AI models to access and query local markdown technical documentation, enhancing context-aware responses. Supports dynamic integration of documentation, allowing updates without server rebuilds.

Converts Markdown content into interactive mindmaps, generating HTML mindmaps or saving them as files for easy access and sharing. Enhances project planning and brainstorming through visual representations of ideas.

Interacts with YouTube content by retrieving video details, managing channels, and accessing transcripts through a standardized interface. Allows for video statistics, channel management, and playlist details.

Connect to Google Docs for reading and appending text to documents programmatically, enabling automated workflows and document interaction through AI assistants.

Connects AI systems to Atlassian Confluence, providing real-time access to organizational knowledge bases. Enables retrieval, searching, and management of Confluence content seamlessly within AI applications.

Convert video, audio, and image files between various formats using FFmpeg. Check for FFmpeg installation and retrieve information on supported file formats for conversion.

Enable interaction with Google Workspace services such as Drive, Docs, and Sheets for operations including file searching, folder creation, document management, and spreadsheet manipulation. Flexible integration is supported through multiple transport modes compatible with MCP clients.