Document Processing MCP Repositories

A starter kit for creating and customizing documentation with built-in examples and components. It automates the deployment process from a GitHub repository, making it easier to manage API reference and guide pages.

Integrates with Google Drive to provide functionality for listing, reading, and searching files. It supports various file formats and exports Google Workspace files to applicable formats for easier access.

Enhance your README.md files effortlessly by analyzing and resolving content conflicts with Ollama. Automatically update your documentation while ensuring consistency and clarity. Streamline your project documentation process with intelligent suggestions and conflict resolution.

Analyze web content and enhance your knowledge base by extracting information from URLs, storing it as Markdown files for easy access. Integrates seamlessly with Obsidian to facilitate questioning and retrieval of insights from the curated content.

Analyze and ingest Git repositories to produce structured text digests of their codebases, providing summaries, file structures, and content. Customize file filtering and branch selection for tailored analysis.

Fetch and transform web content from any URL into formats like HTML, JSON, Markdown, or plain text. This MCP server supports various input types and intelligently detects source formats for seamless content conversion.

Extracts video metadata and captions from YouTube videos, converting them into customizable markdown formats. Supports multiple languages and offers search functionality within captions.

Retrieve BibTeX-formatted citation data from CiteAs and Google Scholar to streamline citation management in research applications.

Read and write data in Microsoft Excel files, including text values and formulas. It supports creating new sheets and offers live editing and screen capture functionalities on Windows.

Advanced OCR capabilities for invoice and receipt management, enabling data extraction from various formats and document merging for efficient handling.

Manage documents, tags, correspondents, and document types through the Paperless-NGX API. Enables efficient organization and retrieval of document-related information.

Make precise line-based edits to text files using string or regex pattern matching, including the ability to replace entire lines, specific text matches, and handle multiple edits with a preview function for safety.

Provides real-time access to technical documentation from various sources, enabling accurate coding assistance. Supports dynamic updates to documentation sources and employs caching to reduce latency while ensuring fresh content.

Transforms and structures text into JSON formats by extracting key information from AI-generated text. Facilitates seamless data integration into applications by converting unstructured text into structured JSON data.

Transforms interactions with digital books by enabling natural language conversations and intuitive navigation. Supports library management and insights extraction from EPUB and PDF formats.

Fetch real-time information from the web, extract content from webpages, and track research sessions with the ability to capture screenshots for better insights.

Integrate with the SiYuan Note system to access and manage notebooks, documents, and content blocks while supporting SQL queries and various file operations.

Enable seamless interaction with Coda documents, including listing, creating, reading, updating, and duplicating pages. Provides command access to manipulate document content directly within an AI framework.

Integrates with a knowledge management platform to manage and organize documents, ingest content from various sources, and perform semantic and hybrid searches. Facilitates connections to external services for enhanced data retrieval and document management.

Provides retrieval-augmented generation capabilities for applications, allowing integration of various data sources with advanced processing methods. Features a toolkit with type definitions and methods for effective RAG implementation.

Provides vector database capabilities for semantic search and document management, enabling storage and retrieval of documents along with their metadata.

Enables AI assistants to search and interact with documentation or codebases by pointing to a Git repository or local folder, allowing for natural language queries about the contents.

Connects a law firm's Clio document management system with Claude Desktop for efficient retrieval and analysis of legal documents while ensuring security and confidentiality. Enables local processing and vector search capabilities to enhance legal research.

Manipulate Word documents using natural language commands for tasks such as creation, editing, and management. The server supports advanced features like table creation, layout control, and metadata management, along with real-time document state monitoring.

Access web content in markdown format by prefixing URLs with `pure.md/`, facilitating seamless retrieval of web pages while avoiding bot detection. It converts various formats like HTML and PDFs into markdown and globally caches responses for efficiency.

Convert various file formats to Markdown using the MarkItDown utility. Process PDFs, Office documents, images, audio files, HTML, and more into a Markdown format for streamlined content handling.

Connect to Qiniu Cloud Storage for accessing, managing, and processing multimedia files within AI large model clients. Perform operations such as listing buckets, uploading files, reading file contents, and utilizing intelligent multimedia features.

Fetches and stores documentation in a vector database for semantic search and retrieval, enhancing LLM capabilities with relevant documentation context. Supports adding documentation from URLs or local files and querying with natural language.

Analyzes text documents by providing word and character counting capabilities. It processes files directly without exposing content to language models, offering statistics on total words, characters including spaces, and characters excluding spaces.

Retrieve relevant package documentation for programming languages and libraries through the Quillopy API, enhancing the coding experience by providing up-to-date information directly into the user's context.