Atlassian Cloud
This MCP server, developed by sooperset, enables AI assistants to interact with Atlassian Cloud products, specifically Confluence and Jira. It provides tools for searching and reading Confluence spaces/pages, retrieving page comments, searching Jira issues, and accessing project metadata. Built in Python, the implementation exposes Atlassian's collaborative features via a standardized MCP interface, allowing AI models to analyze and manipulate content within Atlassian workspaces. By bridging AI capabilities with Atlassian's project management and documentation platforms, this server enhances an AI assistant's ability to support software development workflows, project tracking, and knowledge management. It is particularly useful for teams already using Atlassian tools who want to leverage AI for task automation, content analysis, and workflow optimization.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/sooperset/mcp-atlassian
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Atlassian Cloud from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.