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Atlassian Confluence MCP Server

A TypeScript-based Model Context Protocol (MCP) server for Atlassian Confluence integration. Provides tools for accessing and searching Confluence spaces, pages, and content to connect Claude/Anthropic AI systems to Confluence knowledge bases.

#cli#typescript
Created by aashari2025/03/27
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What is Atlassian Confluence MCP Server?

What is the Atlassian Confluence MCP Server? The Atlassian Confluence MCP Server is a TypeScript-based Model Context Protocol (MCP) server designed for integrating Claude/Anthropic AI systems with Atlassian Confluence, enabling access to Confluence spaces, pages, and content. How to use the Atlassian Confluence MCP Server? To use the server, configure it with your Atlassian site details and run it using either direct environment variables or a global configuration file. You can then connect it to AI systems like Claude Desktop or Cursor AI. Key features of the Atlassian Confluence MCP Server? Integration with Claude and other MCP-compatible AI systems. CLI support for direct command-line access to Confluence content. Powerful search capabilities using Confluence Query Language (CQL). Flexible configuration options for easy setup. Use cases of the Atlassian Confluence MCP Server? Enabling AI systems to retrieve information from Confluence knowledge bases. Searching for specific content within Confluence using natural language queries. Accessing and managing Confluence pages and spaces programmatically. FAQ from the Atlassian Confluence MCP Server? Can I use this server with any AI system? Yes, it is designed to work with any MCP-compatible AI system, including Claude and Cursor AI. Is there a command-line interface available? Yes, the server can be used as a CLI tool for direct access to Confluence functionalities. What configuration options are available? You can configure the server using environment variables or a global configuration file for easier management.

As an MCP (Model Context Protocol) server, Atlassian Confluence MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Atlassian Confluence MCP Server

To use the server, configure it with your Atlassian site details and run it using either direct environment variables or a global configuration file. You can then connect it to AI systems like Claude Desktop or Cursor AI. Key features of the Atlassian Confluence MCP Server? Integration with Claude and other MCP-compatible AI systems. CLI support for direct command-line access to Confluence content. Powerful search capabilities using Confluence Query Language (CQL). Flexible configuration options for easy setup. Use cases of the Atlassian Confluence MCP Server? Enabling AI systems to retrieve information from Confluence knowledge bases. Searching for specific content within Confluence using natural language queries. Accessing and managing Confluence pages and spaces programmatically. FAQ from the Atlassian Confluence MCP Server? Can I use this server with any AI system? Yes, it is designed to work with any MCP-compatible AI system, including Claude and Cursor AI. Is there a command-line interface available? Yes, the server can be used as a CLI tool for direct access to Confluence functionalities. What configuration options are available? You can configure the server using environment variables or a global configuration file for easier management.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Atlassian Confluence MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Atlassian Confluence MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.