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Compare MCP servers

Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionMCP Atlassian ServerMCP server connecting AI assistants to Jira and ConfluenceAtlassian Rovo MCP ServerSecurely connect Atlassian Cloud to AI tools.
FMRS54 / 100 · D66 / 100 · C
Reliability8 / 208 / 20
Security and permissions8 / 2015 / 20
Maintenance14 / 2015 / 20
Documentation13 / 2015 / 20
Setup experience11 / 2013 / 20
Best for
  • Developers who use Jira and Confluence daily with Cline
  • Individuals wanting to integrate Atlassian into AI workflows without context switching
  • MCP-compatible client users seeking quick Atlassian integration
  • Developers, content creators, and project teams using Atlassian Cloud
  • Teams that want Atlassian access inside ChatGPT, Claude, Cursor, or VS Code
  • Users who need natural-language search, write, and cross-product workflows
Not for
  • Teams requiring enterprise-grade official support or Atlassian-maintained assurance
  • Users without an MCP-compatible client
  • High-compliance environments needing strict centralized token governance
  • Users without an Atlassian Cloud site or relevant product permissions
  • Deployments requiring a self-hosted MCP server
  • Users unwilling to grant an AI client access to Atlassian data or actions
  • Jira Service Management or Bitbucket Cloud workflows requiring OAuth authentication
Required permissions
  • Requires an Atlassian API token that inherits all permissions of its creator
  • Tools can perform create, update, and delete mutations on Jira and Confluence data
  • Runs locally and needs access to Atlassian cloud APIs
  • Jira and Confluence provide read, write, and search permission groups
  • Jira Service Management provides read and write access through API tokens only
  • Bitbucket Cloud provides read and write access through scoped API tokens only
  • Compass is available through OAuth 2.1 only
  • The first OAuth installer for a site must have access to the Atlassian apps requested by the MCP scopes
  • Organization administrators can manage domain controls, API-token authentication, app access, and audit logs
Risks and side effects
  • The API token inherits all of the creator's permissions, so a leak is high-impact
  • Never ask LLMs to analyze config files containing your token
  • Third-party, non-official project; Atlassian API changes may require maintenance
  • AI-driven mutations (deleting pages, transitioning issues) risk unintended changes
  • AI clients can perform Jira, Confluence, Jira Service Management, Bitbucket, and Compass actions on the user’s behalf
  • Prompt injection, indirect prompt injection, and tool-poisoning attacks may cause data exfiltration or unintended changes
  • Use least privilege, scoped tokens, and minimal project or workspace access
  • Require human confirmation for high-impact or destructive actions and monitor audit logs
Supported clientsCline, Claude Desktop, CursorOpenAI ChatGPT, Claude, Cursor, GitHub Copilot, GitHub Copilot CLI, Google Gemini CLI, Amazon Quick Suite, Local MCP-compatible clients via mcp-remote
Tools00