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Compare MCP servers

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

DimensionFigma MCP ServerCommunity MCP server that lets AI agents read and write Figma designs via a companion plugin.Atlassian Rovo MCP ServerSecurely connect Atlassian Cloud to AI tools.
FMRS44 / 100 · D66 / 100 · C
Reliability7 / 208 / 20
Security and permissions11 / 2015 / 20
Maintenance10 / 2015 / 20
Documentation9 / 2015 / 20
Setup experience7 / 2013 / 20
Best for
  • Developers or designers who need AI agents to write to Figma documents, not just read them
  • Users comfortable running a local Node.js server and manually loading a developer-mode plugin
  • 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 who only need read-only access and prefer an officially supported solution
  • Users unable to run local services or install developer-mode plugins
  • Multi-user network or production deployments, given the explicit local-only security stance
  • 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
  • Full read/write access to whichever Figma document the plugin is running against
  • A local network port (default 38450) used for WebSocket communication between the MCP server and the Figma plugin
  • 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
  • Early-stage project (v0.1.0), community-maintained rather than officially supported
  • No documented tool list yet (marked TBD in the README), limiting behavioral transparency
  • The author explicitly warns that exposing the server over a network is at the user's own risk
  • The plugin has not yet been approved by Figma and must be sideloaded in developer mode, so the setup process may change
  • 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
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