"How to create, edit, and delete a Confluence page" matching MCP servers:

MCP server for Confluence Server/Data Center (self-hosted) that gives LLM agents access to search, read, create/edit pages, comments, labels, and attachments via the Confluence REST API.

Enables AI assistants to create, update, delete, and search Confluence pages directly through natural language commands in Cursor, with support for space management and page history.

Enables Confluence page lookup, CQL search, page creation/updates, comments, and space discovery through a local MCP server with token-based auth.

MCP server for administering Atlassian Confluence Cloud wiki pages, supporting CRUD operations, page navigation, comments, attachments, and more.

Enables agents to read and edit self-hosted Confluence pages as Markdown, preserving macros, layouts, and attachments, with operations to pull, push, replace, and check page status.

Enables users to view and edit Microsoft Loop pages as interactive markdown widgets directly within the chat interface. It supports inline rendering and provides tools for requesting page updates through a host's Loop MCP server.

Enables reading and analyzing Confluence documentation content through the Confluence REST API. Supports extracting and converting text, tables, code blocks, and images from Confluence pages for Q\&A and analysis.

MCP server for integrating Confluence with AI agents, enabling search, read, and retrieval of documentation, plus syncing and pushing markdown files.

Enables AI assistants to interact with Atlassian Confluence Cloud by providing tools to create, update, search, and delete pages. It facilitates seamless content management within Confluence spaces using Markdown and the Confluence REST API.

Enables Claude Desktop to search, read, and update Confluence Cloud pages, spaces, attachments, comments, and version history through the Confluence REST API v1 and v2 using local stdio.

Enables interaction with Confluence through a unified API using the Model Context Protocol, providing tools for managing Confluence content and services.

Enables interacting with a self-hosted Confluence Data Center instance to search pages using CQL, retrieve pages and children, and create or update page content via the Confluence REST API.

Enables a Cursor agent to search and read Confluence Server/Data Center pages via Personal Access Token, offering read-only tools for user info, spaces, page search, and page content.

Provides MCP tools to convert Confluence PRD pages to Markdown, preserving nested tables, Jira macros, attachments, and comments for AI agents.

A Model Context Protocol (MCP) server that connects AI agents to Confluence Cloud. Agents can search, read, create, and update Confluence content — pages, comments, links, images, and labels.

Wraps the Confluence Cloud REST API v2 (OAuth) to enable AI agents to interact with Confluence spaces and content via MCP. Part of the Pipeworx MCP gateway for connecting to 250+ data sources.

Enables integration with Atlassian Confluence to browse spaces, search content using CQL, and manage pages directly from MCP-compatible applications. It automatically converts Confluence storage formats into markdown for seamless interaction with AI-driven editors and tools.

MCP server for bidirectional Markdown-to-Confluence sync, enabling download and publish of Confluence pages as Markdown with images, frontmatter tracking, and dry-run safety.

Enables interaction with Confluence to manage spaces, pages, and comments with support for Markdown conversion and CQL-based search. It includes advanced features for exporting Confluence content to structured Markdown files and provides optimized tools for page and comment administration.

An MCP server for reading and writing Confluence pages in native Atlassian Document Format (ADF), enabling precise edits at the document node level without loss of formatting.