发现我们为 content management 精心策划的 MCP 服务器集合。浏览 958 个服务器,找到满足您需求的完美 MCP。
Enables searching and reading files stored on Box using a developer token.
Connects WordPress data to Large Language Models via a Model Context Protocol (MCP) server using CData JDBC Drivers.
Programmatically fetches news headlines and article content from Khaleej Times.
Manages intelligent structured documents to prevent token overflow in large language models and ensure content consistency.
Provides comprehensive YouTube search functionality using the YouTube Data API v3.
Enables AI agents to interact with Notion data and perform actions by implementing a Model Context Protocol (MCP) server for the Notion API.
Serves remote Markdown files as accessible MCP resources.
Enables AI assistants to intelligently read and process both scanned and digital PDF documents using integrated Optical Character Recognition (OCR) and a robust caching system.
Facilitates Telegram Bot API integration for blogging and content publishing, compatible with AI clients like ChatGPT and Make.com.
Generates a Python-based server for educational course management from JSON-defined course content.
Provides an API for managing a bookstore's inventory, sales, and stock levels.
Interactively select and export image and text regions from various image file formats.
Serves and plays media files from a designated directory, supporting various transport protocols and client interactions.
Processes and translates SRT subtitle files with intelligent conversation detection and context preservation for AI assistant integration.
Provides comprehensive offline access to Ellen G. White's writings through dual APIs (MCP and REST) and advanced PDF generation capabilities for research and educational purposes.
Exposes the Dacast video platform API as structured MCP tools for managing resources through natural language.
Provides AI assistants with a semantic long-term memory system to store and retrieve information from diverse sources.
Integrates with Grist to provide 11 specialized tools for managing documents, records, SQL queries, and pages within an MCP environment.
Enables AI assistants and MCP clients to programmatically interact with Atlassian Confluence Data Center content.
Empower AI agents with searchable access to any markdown content through a Model Context Protocol (MCP) server.
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