Confluence MCP Server
Confluence MCP server providing API tools for Atlassian Confluence operations including page management, space handling, and content search with built-in rate limiting and error handling.
Overview
what is Confluence MCP Server?
Confluence MCP Server is a Model Context Protocol (MCP) server implementation for Atlassian Confluence, designed to facilitate interaction with Confluence content through the MCP protocol, enabling AI agents to work seamlessly with Confluence.
how to use Confluence MCP Server?
To use the Confluence MCP Server, clone the repository, install the dependencies, configure the environment variables, and run the server locally or deploy it to Cloud Run.
key features of Confluence MCP Server?
- Search pages and spaces using Confluence Query Language (CQL)
- List all available Confluence spaces
- Create, read, update, and delete Confluence pages
- Rich metadata support for Confluence resources
- Flask-based server for easy deployment to Cloud Run
- MCP tools for AI agent integration
use cases of Confluence MCP Server?
- Automating content management in Confluence.
- Integrating AI agents for enhanced content interaction.
- Building applications that require dynamic access to Confluence data.
FAQ from Confluence MCP Server?
- How do I get an access token for Confluence?
Log in to your Atlassian account, go to Account Settings > Security > Create and manage API tokens, and create a new API token.
- Can I run this server locally?
Yes! You can run the server locally by executing the provided Python script after setting up the environment.
- Is there support for error handling?
Yes, all tools include proper error handling and return appropriate error messages.
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