Discover our curated collection of MCP servers for content management. Browse 1636 servers and find the perfect MCPs for your needs.
Automates interactions with WordPress sites using the WordPress REST API and JSON-RPC 2.0 protocol.
Integrates with the Box API to perform operations such as file search, text extraction, and AI-based querying.
Enables AI assistants to interact with WordPress sites through the WordPress REST API using natural language.
Enables Language Models to interact with Notion workspaces through standardized tools for managing pages and databases.
Enhances Payload CMS development by providing code validation, template generation, and project scaffolding.
Enables AI interactions with WordPress installations during development using the Model Context Protocol.
Enables AI agents to manage documents, collections, and other entities programmatically through the Outline knowledge base platform.
Enables interaction with Markdown knowledge bases through an MCP server.
Enables management of documents, tags, correspondents, and document types within a Paperless-NGX instance using the Model Context Protocol (MCP).
Enables Large Language Model (LLM) clients to interact with any MediaWiki wiki.
Enables Directus users to interact with their data through Large Language Models (LLMs) using the Model Context Protocol (MCP).
Provides a lightweight, extensible, and cross-platform electronic medical record editor core for structured EMR editing and AI integration within healthcare information systems.
Automate complex Google Workspace tasks and simplify API authorization by integrating with Gemini CLI via a Google Apps Script-based MCP server.
Integrates Overleaf projects with Model Context Protocol (MCP) clients, enabling access to LaTeX files, document structure analysis, and content extraction.
Enables AI assistants to interact with Joplin notes, notebooks, and tags through a standardized interface.
Elevates your Obsidian vault into an intelligent knowledge system by providing AI agents with specialized tools for managing and analyzing notes.
Automates content publishing and management on Xiaohongshu, providing AI clients with robust operational capabilities via the Model Context Protocol.
Enables AI assistants and other tools to read, search, and traverse reMarkable tablet data, including handwritten notes via OCR.
Integrate and control your *arr media management applications through a unified interface.
Empower AI agents to build effectively with Sanity using a collection of resources and integrations.
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