Atlassian (Jira/Confluence) AI Agent powered by 1st Party MCP Server using OpenAPI Codegen, LangGraph and LangChain MCP Adapters. Agent is exposed on various agent transport protocols (AGNTCY ACP, Google A2A, MCP Server)
Overview
What is Atlassian AI Agent?
The Atlassian AI Agent is a powerful LLM-powered assistant designed to integrate with Atlassian products like Jira and Confluence, utilizing OpenAPI Codegen, LangGraph, and LangChain MCP Adapters.
How to use Atlassian AI Agent?
To use the agent, set up your environment by creating a .env file with necessary configurations, then start the workflow server in either ACP or A2A mode using the provided commands.
Key features of Atlassian AI Agent?
- 🤖 LLM-powered agent for managing Atlassian applications.
- 🌐 Supports multiple protocols (ACP and A2A) for integration.
- 🛡️ Secure access control with API token-based RBAC.
- 🔌 Integrated communication with Atlassian MCP server.
Use cases of Atlassian AI Agent?
- Managing applications in Jira and Confluence.
- Automating tasks such as creating, updating, and deleting applications.
- Retrieving user information and application details.
FAQ from Atlassian AI Agent?
- Can the agent manage all Atlassian applications?
Yes, it can assist with various tasks across Jira and Confluence.
- Is there a specific setup required to run the agent?
Yes, you need to configure environment variables and start the server in the desired mode.
- What protocols does the agent support?
The agent supports both ACP and A2A protocols for flexible integration.