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

DimensionLinear MCP ServerAn MCP server for interacting with Linear's API to manage issues, projects, and teams.Atlassian Rovo MCP ServerSecurely connect Atlassian Cloud to AI tools.
FMRS35 / 100 · D66 / 100 · C
Reliability8 / 208 / 20
Security and permissions5 / 2015 / 20
Maintenance7 / 2015 / 20
Documentation8 / 2015 / 20
Setup experience7 / 2013 / 20
Best for
  • Developers using Cline who need access to Linear
  • Teams wanting to integrate Linear issue management with AI coding assistants
  • 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
  • Users requiring OAuth authentication (not implemented)
  • Users needing advanced search filtering or pagination (under development)
  • Non-Cline users (README focuses on Cline integration)
  • 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 a valid Linear API key (personal access token)
  • The API key's permissions are the same as the creating user, potentially allowing creation, update, and deletion of issues
  • 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
  • Leaked API keys could lead to unauthorized access
  • Bulk operations might accidentally delete or modify many issues
  • Server is a private project and may have undiscovered bugs or security issues
  • 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 clientsClaude DesktopOpenAI ChatGPT, Claude, Cursor, GitHub Copilot, GitHub Copilot CLI, Google Gemini CLI, Amazon Quick Suite, Local MCP-compatible clients via mcp-remote
Tools110