content management를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1348개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables interaction with Confluence through CQL queries and content retrieval.
Converts various file types and web content into Markdown format with enhanced UTF-8 encoding support.
Enables AI assistants to manage Confluence spaces, pages, and content through a standardized interface.
Enables AI assistants to manage content on Joomla websites via the Joomla Web Services API.
Manages AI prompts by fetching them from GitHub, enabling intelligent discovery, composition, and real-time synchronization.
Manages i18next translation files via a Model Context Protocol (MCP) server, enabling AI assistants to automate localization workflows.
Provides an AI-native Model Context Protocol (MCP) server for seamless integration with Alfresco Content Services, enabling comprehensive content management operations.
Provides intelligent question answering and analysis capabilities for multi-document PPT files powered by a Retrieval-Augmented Generation (RAG) engine.
Automate rich text content creation, management, and publishing on Substack from any Model Context Protocol (MCP) compatible client.
Empowers AI agents to deeply understand, navigate, and enhance Obsidian vaults through advanced interaction capabilities.
Integrates Day One Journal with Claude Desktop, enabling natural language control over journaling.
Indexes and provides semantic search for local documents using a vector database and local language models.
Exposes Discourse forum capabilities as callable tools for AI agents via a Model Context Protocol (MCP) stdio server.
Enables Claude to comprehensively manage and enhance Scrivener writing projects, including file operations, metadata, content analysis, and advanced editing.
Facilitates AI interaction with WordPress forms, entries, and submissions through a Model Context Protocol server.
Enables browsing and managing CKAN data portals through the Model Context Protocol (MCP) for seamless client interaction.
Generate AI-powered podcasts with customizable voices and transform text into natural-sounding conversational audio.
Automates internationalization and localization workflows using AI, specifically for documentation projects integrated within GitHub Actions.
Transforms Markdown content into the Feishu/Lark document format, offering an MCP service for seamless integration.
Performs token-efficient CRUD operations on xcstrings (String Catalog) files for localization management.
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