Connect AI Agents to
Atlassian Confluence
Automate workflows and connect AI agents to Atlassian Confluence. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
Automate workflows and connect AI agents to Atlassian Confluence. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
The Atlassian Confluence integration lets you search, read, and manage your wiki pages and spaces directly from your workflow, enabling seamless access to your team's documentation and knowledge base.
Deploy on MetorialMetorial has 600+ integrations available. Here are some related ones you might find interesting.
The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.
The Exa integration lets you perform semantic searches across the web and retrieve high-quality content directly within your workflows, enabling AI agents to find and access relevant information from billions of web pages in real-time.
The Hackernews integration lets you fetch and analyze stories, comments, and user data from Hacker News directly within your workflow, enabling you to track trending topics, monitor discussions, and gather insights from the tech community.
The Gmail integration lets you read, search, send, and manage your email messages directly through AI conversations, enabling automated email workflows and intelligent inbox management.
The Slack integration lets you read channels, send messages, and search conversations directly from your AI assistant, enabling seamless team communication and information retrieval without leaving your workflow.
The Tavily integration lets you perform AI-optimized web searches and retrieve real-time information directly within your workflow, enabling your AI assistant to access current data and research capabilities for answering questions and gathering insights.
The Google Calendar integration lets you view, create, update, and manage calendar events directly from your workflow, enabling seamless scheduling and calendar management without switching applications.
The Supabase integration lets you query and manipulate your database tables, manage authentication, and interact with storage buckets directly from your AI assistant. Use it to build applications, analyze data, or automate database operations without leaving your workflow.
The Google Drive integration lets you search, read, and manage files and folders in your Google Drive directly through Claude. Use it to access documents, create new files, organize content, and collaborate on shared resources without leaving your conversation.
Metorial helps you connect AI agents to Atlassian Confluence with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.
List all Confluence spaces
Get details of a specific space
Create a new Confluence space
Update space details
Delete a Confluence space
Get a specific page by ID
Get pages from a space
Create a new page in Confluence
Update an existing page
Delete a page (move to trash)
Get child pages of a page
Move a page to a different location
Find guides and articles to help you get started with Atlassian Confluence on Metorial.
Atlassian Confluence
Atlassian Confluence
Atlassian Confluence
Atlassian Confluence
Atlassian Confluence
Atlassian Confluence
Atlassian Confluence
Atlassian Confluence
A comprehensive Model Context Protocol (MCP) server that enables seamless integration with Atlassian Confluence. This server provides complete access to Confluence's content management capabilities, allowing you to manage spaces, pages, blog posts, comments, labels, attachments, and more through a unified interface. Whether you're building automation workflows, integrating Confluence with AI assistants, or creating custom knowledge management tools, this server delivers the full power of Confluence's REST API through easy-to-use MCP tools.
The Confluence MCP Server transforms how you interact with your Confluence instance by providing programmatic access to virtually every aspect of your Confluence workspace. From basic operations like reading and creating pages to advanced features like version history management, macro insertion, and permission control, this server acts as a bridge between your applications and Confluence's powerful collaboration platform.
With support for over 40 distinct operations, you can automate content creation, manage organizational knowledge, search across spaces, handle blog posts, collaborate through comments, organize content with labels, work with templates, and much more. The server handles all the complexities of API authentication, request formatting, and response parsing, allowing you to focus on building great experiences.
Manage Confluence spaces with full CRUD operations including listing, creating, updating, and deleting spaces. Filter spaces by type (global or personal) and status (current or archived), retrieve detailed space information with expandable fields, and control space descriptions and metadata.
Create, read, update, and delete pages with full content control. Support for page hierarchies through parent-child relationships, ability to move pages between spaces and locations, retrieve child pages, and work with different content representations (storage format and view format). Pages can be created from scratch or using templates for consistent formatting.
Full support for Confluence blog posts including creation and retrieval. List all blog posts within a space, create new blog entries with rich content, and manage your organization's blog-based communication channels.
Powerful search functionality using Confluence Query Language (CQL) for complex queries, plus simplified title-based search with filtering by content type and space. Control result limits and expand specific fields in search results for optimal performance.
Complete version control with the ability to retrieve full page history, view specific versions of pages, and restore previous versions. Essential for tracking changes, auditing content modifications, and recovering from unwanted edits.
Add, retrieve, and remove labels from content to create flexible organizational taxonomies. Labels work across pages, blog posts, and spaces, enabling powerful content categorization and discovery.
Full comment lifecycle management including adding comments to pages, retrieving all comments, updating existing comments, and deleting comments. Support for rich text formatting in comments using HTML or storage format.
Retrieve attachments associated with pages, get detailed information about specific attachments, and list all attachments with pagination support.
Access page templates available in spaces and create new pages directly from templates, ensuring consistent structure and formatting across your documentation.
Search for users, retrieve user information by account ID, and get details about the current authenticated user. Essential for permission management and content attribution.
Query space permissions and content restrictions to understand access control, enabling proper security management and content visibility control.
Insert Confluence macros into content with configurable parameters and body content. Support for common macros like info, note, warning, and code blocks, enabling rich, dynamic content creation.
Retrieve page view statistics to understand content engagement and identify popular pages.
Lists all Confluence spaces accessible to the authenticated user.
Retrieves detailed information about a specific Confluence space.
Creates a new Confluence space.
Updates the properties of an existing space.
Permanently deletes a Confluence space.
Retrieves a specific page by its unique identifier.
Lists pages within a specific space.
Creates a new page in Confluence.
Updates an existing page's content or title.
Moves a page to trash (soft delete).
Retrieves all child pages of a specific page.
Moves a page to a different location or space.
Lists blog posts from a specific space.
Creates a new blog post in a space.
Searches for content using Confluence Query Language (CQL).
Searches for content by title with optional filtering.
Lists all attachments for a specific page.
Retrieves detailed information about a specific attachment.
Retrieves all labels applied to content.
Adds one or more labels to content.
Removes a specific label from content.
Retrieves all comments on a page.
Adds a new comment to a page.
Updates an existing comment.
Deletes a comment.
Lists all page templates available in a space.
Creates a new page using a template.
Retrieves the complete version history of a page.
Retrieves a specific version of a page.
Restores a page to a previous version.
Retrieves information about a specific user.
Retrieves information about the currently authenticated user.
Searches for users by username or display name.
Retrieves permission settings for a space.
Retrieves access restrictions applied to content.
Generates content with a Confluence macro.
Retrieves view statistics for a page.
Retrieves all content (pages and blog posts) from a space.
This MCP server enables a wide range of Confluence automation and integration scenarios:
To use this MCP server, you'll need access to an Atlassian Confluence instance (Cloud or Data Center) and appropriate API credentials. The server communicates with Confluence's REST API, providing a standardized MCP interface that abstracts the underlying API complexity.
Once configured, you can immediately begin using any of the 40+ tools to interact with your Confluence content. The server handles authentication, request formatting, error handling, and response parsing, allowing you to focus on building functionality rather than managing API integration details.
Whether you're building a simple automation script or a sophisticated AI-powered knowledge management system, this MCP server provides the foundation you need to unlock the full potential of your Confluence workspace.
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.