| FMRS | 64 / 100 · C | 80 / 100 · B | 76 / 100 · B |
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| Reliability | 7 / 20 | 14 / 20 | 13 / 20 |
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| Security and permissions | 12 / 20 | 16 / 20 | 14 / 20 |
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| Maintenance | 14 / 20 | 17 / 20 | 18 / 20 |
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| Documentation | 17 / 20 | 15 / 20 | 17 / 20 |
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| Setup experience | 14 / 20 | 18 / 20 | 14 / 20 |
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| Best for | - Product and frontend teams with paid Figma seats (Dev/Full) who frequently generate code from designs
- Teams with well-structured design systems using components, variables, and Auto Layout
- Teams using Code Connect to keep generated code consistent with real components
| - Developers using fast-moving frameworks/libraries worried about the AI suggesting stale code
- Scenarios wanting zero-config documentation lookup
| - Teams that want an AI assistant to directly operate on GitHub repos and collaboration workflows
- Users already in the GitHub Copilot ecosystem who want a zero-deployment remote option
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| Not for | - Use cases requiring an offline or local stdio MCP server (this server is remote Streamable HTTP only)
- Starter plan users or View/Collab seat holders, who are capped at 6 tool calls per month
- Scenarios needing direct local filesystem access (this server provides Figma design data, not filesystem access)
| - Looking up internal/private codebase documentation (Context7 targets publicly published open-source libraries)
- Cases needing very high coverage of obscure, niche libraries (coverage depends on what Context7's platform has indexed)
| - Scenarios where you don't want the assistant to have write access to repos (enable only read-only toolsets)
- Environments with strict network isolation for private repos that can't reach the official remote endpoint
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| Required permissions | - Requires Figma account authentication (e.g. `/mcp auth figma` in Gemini CLI) to access files the user has permission to view
- The remote server can read design data (layers, variables, styles, screenshots) for selected Figma nodes
- The write-to-canvas feature (remote server only) can create/modify frames, components, variables, and Auto Layout in Figma files
| - Usable without an API key (subject to a free-tier rate limit); CONTEXT7_API_KEY is an optional credential for higher quota
- Read-only documentation lookup — no code execution or local filesystem access involved
| - A personal access token (PAT) or OAuth App token; effective scope depends on the token's own permissions
- Enabling toolsets like actions/issues/pull_requests grants write access — request tokens on a least-privilege basis
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| Risks and side effects | - Design data is processed through Figma's officially hosted remote server and your AI client, not run locally
- Write-to-canvas access could unintentionally modify real Figma files if an agent follows a bad instruction
- Read-type tool calls are rate limited per Figma plan/seat; Starter and View/Collab seat users are capped at just 6 calls per month
- Write-to-canvas is currently free during beta but is expected to become a usage-based paid feature
| - The free tier has limited quota — high-frequency use may hit rate limits
- Documentation content comes from Context7's platform index, so its accuracy and freshness depend on that platform's crawl cadence
| - Write toolsets (creating/merging PRs, triggering workflows) can cause accidental changes if the token is overscoped — try a read-only toolset first
- In hosted mode, credentials travel via the Authorization header — make sure the client-to-api.githubcopilot.com connection is trusted
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| Supported clients | VS Code, Cursor, Claude Code, Gemini CLI | Claude Code, VS Code, Cursor, Cline, Amp | Claude Desktop, Claude Code, VS Code, Cursor, Windsurf, JetBrains, Zed, Amp |
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| Tools | 4 | 2 | 15 |
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