Discover our curated collection of MCP servers for content management. Browse 899servers and find the perfect MCPs for your needs.
Manages software project specifications through an AI-powered, structured workflow of requirements, design, and implementation documents.
Enables Language Models to interact with Notion workspaces through standardized tools for managing pages and databases.
Enables interaction with a Paperless-NGX API server through the Model Context Protocol (MCP).
Extracts, cleans, and summarizes content from various media sources using AI-powered processing.
Enables AI assistants to interact with WordPress sites through the WordPress REST API using natural language.
Facilitates communication between local Model Context Protocol (MCP) clients and remote WordPress MCP servers using REST API requests.
Enables AI interactions with WordPress installations during development using the Model Context Protocol.
Enables AI agents to interact with Webflow using the Model Context Protocol (MCP) and the Webflow JavaScript SDK.
Integrates with the Box API to perform operations such as file search, text extraction, and AI-based querying.
Automate complex Google Workspace tasks and simplify API authorization by integrating with Gemini CLI via a Google Apps Script-based MCP server.
Automates and enhances WordPress management using AI-powered tools for content creation, SEO optimization, and bulk operations.
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 hybrid search and AI-powered Q&A by building knowledge graphs from diverse content sources using a configurable architecture.
Enhances Payload CMS development by providing code validation, template generation, and project scaffolding.
Automates interactions with WordPress sites using the WordPress REST API and JSON-RPC 2.0 protocol.
Enables AI assistants to interact with Outline documentation services through the Model Context Protocol (MCP).
Enables Directus users to interact with their data through Large Language Models (LLMs) using the Model Context Protocol (MCP).
Connects Sanity content to AI agents, enabling content creation, updates, and exploration through natural language.
Provides a lightweight, extensible, and cross-platform electronic medical record editor core for structured EMR editing and AI integration within healthcare information systems.
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