How to Install Atlassian Remote MCP in OpenAI Agents SDK
Official Atlassian integration — Jira issues, Confluence docs, and your entire work graph via AI
What Atlassian Remote MCP does
The official Atlassian Remote MCP server gives AI agents permission-aware access to your entire Atlassian workspace — Jira for issues and sprints, Confluence for documentation and knowledge. Features: Jira: - Create, search, and update issues with full field support - Manage sprint backlog and velocity - Track epic progress and team workload - Run JQL queries for advanced filtering - Manage project boards and workflow transitions Confluence: - Search and read pages across your knowledge base - Create and update documentation - Comment on pages and answer questions from your wiki - Access space hierarchies and page trees OAuth-secured with granular permission scopes. Works with both Jira Software and Jira Service Management. Perfect for enterprise teams who need their AI to integrate with existing Atlassian workflows.
Installation steps
- 1Install: pip install openai-agents
- 2Copy the snippet below into your agent code
- 3Replace placeholder env values with your real keys
- 4Pass mcp_servers=[mcp_server] to your Agent()
Python snippet
from agents import Agent
from agents.mcp import MCPServerStdio
mcp_server = MCPServerStdio(
command="npx",
args=["-y", "@atlassian/mcp"],
env={
"ATLASSIAN_API_TOKEN": "your_token",
"ATLASSIAN_EMAIL": "you@company.com",
"ATLASSIAN_DOMAIN": "your-company",
},
)
agent = Agent(
name="My Agent",
model="gpt-4o",
mcp_servers=[mcp_server],
)Install in other clients
For maintainers
If you maintain Atlassian Remote MCP, add this badge to your README to show it's verified on CuratedMCP:
[](https://curatedmcp.com/marketplace/atlassian-remote-mcp)