Run the Model Context Protocol (MCP) Atlassian server in Docker, enabling integration with Jira, Confluence, and other Atlassian products.
SkillScore100Maintained
Automatic
◆Project Management pack
Last verified 8/19/2026
What it changes
Passed 22 of 22 test cases with the skill, and 12 of 22 without it.
Without skill57%
With skill100%
Checks it passed that the model alone missed
Lists JIRA_URL among the environment variables
Prepends JIRA_API_TOKEN to the execution command
Uses bash to execute scripts/run_mcp_atlassian.sh
and 12 more in the full report
10 fixed13 passed either way0 still failing0 broke
Pass-rate lift
+43 pp
Tokens
-28%
Agent turns
0%
Response time
-52%
Model gemini-3.6-flashMeasured 8/19/2026v123 of 23 cases passed with skill · 22 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 9
Prompt
I want to pull the official container image for the Atlassian MCP server from GitHub Container Registry. I was going to run `docker pull atlassian/mcp-server:latest`. What is the exact image path I should pull instead?
What was checked, without and with the skill
Checked
Without skill
With skill
Specifies ghcr.io/sooperset/mcp-atlassian:latest as the image repository
Missed
Passed
case-04 · gemini-3.6-flash · 8/19/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md42 lines2 filesincludes scripts
MCP Atlassian
Overview
The MCP Atlassian server provides programmatic access to Jira and other Atlassian services through the Model Context Protocol. Run it in Docker with your Jira credentials to query issues, manage projects, and interact with Atlassian tools.
Quick Start
Pull and run the container with your Jira credentials:
Once running, the MCP server exposes Jira tools for use. Reference the container as an MCP source in your Clawdbot config to query issues, create tasks, or manage Jira directly from your agent.
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