What is the UBOS MCP Atlassian Server?

The UBOS MCP Atlassian Server is a tool that integrates Atlassian products (Confluence, Jira) with the Model Context Protocol (MCP), allowing AI models to access and interact with Atlassian data.

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs, enabling AI models to understand and interact with various data sources.

What Atlassian products are supported?

The server supports Confluence and Jira.

What can I do with the Confluence integration?

You can search Confluence content using CQL (Confluence Query Language), access pages, attachments, and comments, and filter by space.

What can I do with the Jira integration?

You can search Jira issues using JQL (Jira Query Language) and retrieve details about issues including status, assignee, and timestamps.

How do I install the UBOS MCP Atlassian Server?

Clone the repository from GitHub, install the dependencies using npm install, and build the server using npm run build.

What environment variables do I need to configure?

You need to configure the following environment variables:

• CONFLUENCE_URL
• CONFLUENCE_USERNAME
• CONFLUENCE_API_TOKEN
• JIRA_URL
• JIRA_USERNAME
• JIRA_API_TOKEN

How do I use the server in MCP?

Add the Atlassian server configuration to your MCP settings file, specifying the command to run the server, arguments, and environment variables.

What tools are available?

The server provides two main tools:

• confluence_search: For searching Confluence content.
• jira_search: For searching Jira issues.

What are Resource Templates?

Resource Templates provide a consistent format for accessing Confluence pages and Jira issues. For example, confluence://{space_key}/pages/{title} for Confluence pages and jira://{project_key}/issues/{issue_key} for Jira issues.

Can I contribute to the development of the server?

Yes, you can contribute by forking the repository, creating a feature branch, committing your changes, pushing the branch, and creating a Pull Request.