By AtakanErmisUpdated 2026-05-11atlassian-mcp@clawhub_atakanermis/atlassian-mcp
Workflow OrchestrationTool Use#Docker#Jira
According to AlphaMoat, as of 2026-10, Atlassian MCP (Jira, Confluence) has 7,282 downloads and 10 stars — ranked by downloads #3,851 among 10,914 AI skills in this ranking, and #518 of 1,632 in AI Agent.
The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.
| Platform | Downloads | Stars | Comments |
|---|---|---|---|
| ClawHub ↗ | 5.9K | 10 | - |
| SkillHub ↗ | 7.3K | 10 | — |
Platforms count differently and update at different times.
The guide focuses on querying Jira issues and managing Jira tasks or projects, and names Confluence search as another use. It requires Docker and a Jira instance URL, username and API token. The running container must be configured as an MCP source for the agent; the guide does not establish a working local connection.
Profile published 2026-10-27
Generated from the skill’s documentation as examples; not results of actual runs.
The counting method changed in 2026-09: skills with the same name are now counted separately by author, and the full catalog is covered. Dashed lines show months before the change; they are not compared with later months, and no growth is computed across the change.
| Month | Downloads | MoM | Stars |
|---|---|---|---|
| 2026-10 | 7.3K | — | 10 |
| 2026-09 | 5.9K | — | 10 |
| 2026-08 | 5.5K | +5.6% | 10 |
| 2026-07 | 5.2K | — | 10 |
| 2026-05 | 4.7K | — | 10 |
| 2026-03 | 4.0K | — | 9 |
The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.
--- name: mcp-atlassian description: Run the Model Context Protocol (MCP) Atlassian server in Docker, enabling integration with Jira, Confluence, and other Atlassian products. Use when you need to query Jira issues, search Confluence, or interact with Atlassian services programmatically. Requires Docker and valid Jira API credentials. --- # 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: ```bash docker pull ghcr.io/sooperset/mcp-atlassian:latest docker run --rm -i \ -e JIRA_URL=https://your-company.atlassian.net \ -e [email protected] \ -e JIRA_API_TOKEN=your_api_token \ ghcr.io/sooperset/mcp-atlassian:latest ``` **With script (faster):** Run the bundled script with your API token: ```bash JIRA_API_TOKEN=your_token bash scripts/run_mcp_atlassian.sh ``` ## Environment Variables - **JIRA_URL**: Your Atlassian instance URL (e.g., `https://company.atlassian.net`) - **JIRA_USERNAME**: Your Jira email address - **JIRA_API_TOKEN**: Your Jira API token (create in [Account Settings → Security](https://id.atlassian.com/manage-profile/security/api-tokens)) ## Using MCP Atlassian with Clawdbot 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. ## Resources ### scripts/ - **run_mcp_atlassian.sh** - Simplified runner script with credential handling
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Data as of 2026-10. Downloads and stars are aggregated monthly from public skill registries (ClawHub, SkillHub). See data methodology.