"confluence" matching MCP servers:

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

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 reading, writing, searching, and managing attachments on Confluence pages via the Confluence REST API.

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.

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.

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 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.

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.

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.

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.

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.

Enables MCP-compatible clients to search, read, and manage Confluence Cloud pages, including publishing and updating documentation from Markdown, with support for folders and secure API token storage.

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.

A Model Context Protocol server for Atlassian Jira and Confluence that bypasses corporate proxies and self-signed certificates, enabling read/write operations on issues, projects, pages, and spaces using Personal Access Tokens.

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 interaction with Jira and Confluence APIs to search, create, and manage issues, pages, comments, and attachments across both Atlassian platforms.

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

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.