by sooperset
Access Confluence pages and Jira in the cloud with Atlassian API. Integrate effortlessly using the REST API for Jira.
Access Confluence pages and Jira issues via Atlassian API.
Atlassian Cloud is a community-built MCP server published by sooperset that provides AI assistants with tools and capabilities via the Model Context Protocol. Access Confluence pages and Jira in the cloud with Atlassian API. Integrate effortlessly using the REST API for Jira. It is categorized under productivity.
You can install Atlassian Cloud in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Atlassian Cloud is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Access Confluence pages and Jira in the cloud with Atlassian API. Integrate effortlessly using the REST API for Jira.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Atlassian Cloud has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Atlassian Cloud surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We wired Atlassian Cloud into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Atlassian Cloud surfaces stars and publisher context so we could sanity-check maintenance before adopting.
According to our notes, Atlassian Cloud benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
I recommend Atlassian Cloud for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We wired Atlassian Cloud into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
Strong directory entry: Atlassian Cloud surfaces stars and publisher context so we could sanity-check maintenance before adopting.
Atlassian Cloud reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Useful MCP listing: Atlassian Cloud is the kind of server we cite when onboarding engineers to host + tool permissions.
showing 1-10 of 42
MCP server for Slack — enables Claude to interact with Slack data and workflows.
★ —
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
