Discover our curated collection of MCP servers for content management. Browse 947servers and find the perfect MCPs for your needs.
Provides secure, sandboxed document format conversion between common types like Markdown, DOCX, HTML, PDF, and TXT.
Manages and summarizes notes using a Model Context Protocol server, integrating Retrieval Augmented Generation (RAG) and Large Language Models (LLMs).
Connects AI applications to the huuh.me platform, facilitating collaborative AI and knowledge management.
Manage personal diary entries and journals through a local Model Context Protocol (MCP) server.
Enables AI tools to create, edit, and manage drafts directly within Movable Type.
Converts web content to Markdown using a simple MCP server.
Extracts content from various online sources, including webpages, YouTube videos, tweets, and PDFs.
Analyzes and manipulates PDF documents, offering tools for size analysis, splitting, merging, and image conversion.
Connects Notion accounts with ChatGPT, providing controlled access to specific Notion pages for AI models.
Provides a Model Context Protocol server for managing a simple text-based notes system.
Integrates MindMup mind maps with Google Drive, enabling users to search, retrieve, and parse MindMup files directly through an MCP interface.
Enables AI models to search and retrieve NetDocuments files, converting binary documents to plaintext for direct consumption.
Parses over 36 document file formats, extracting text, metadata, and images with advanced chunking and token optimization for AI models like Claude.
Connects Confluence with various AI models lacking native Model Context Protocol support, enabling secure and intelligent access to internal knowledge bases.
Manages Turbify Store catalogs by providing tools to create, update, delete, and search catalog items via the Turbify Store Catalog API.
Provides a lightweight Node.js server for searching and retrieving books from your Calibre ebook library.
Allows users to bookmark and categorize any website for easy access anywhere.
Connects saved Noverload content to AI assistants, enabling advanced search, content synthesis, and intelligent token management through the Model Context Protocol (MCP).
Access and search Wikipedia content locally through ZIM files, providing results in HTML or Markdown.
Analyzes text to identify and suggest improvements for adverb usage within the Model Context Protocol framework.
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