--- title: "Figma-Context-MCP vs awesome-mcp-servers" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/glips-figma-context-mcp-vs-punkpeye-awesome-mcp-servers" tools: ["glips-figma-context-mcp", "punkpeye-awesome-mcp-servers"] --- # Figma-Context-MCP vs awesome-mcp-servers *GraphCanon updated Aug 26, 2026* ## Verdict Pick Figma-Context-MCP if figma-Context-MCP is a TypeScript-based MCP server designed to facilitate the extraction of layout information from Figma projects for AI coding agents such as Cursor; pick awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. [Figma-Context-MCP](https://www.framelink.ai/) reports 16k GitHub stars, 1.3k forks, and 25 open issues, last pushed Aug 7, 2026. [awesome-mcp-servers](https://glama.ai/mcp/servers) has 91k stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. Figures are from public GitHub metadata via [Figma-Context-MCP's repository](https://github.com/GLips/Figma-Context-MCP) and [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers). | | [Figma-Context-MCP](/tools/glips-figma-context-mcp.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Tagline | MCP server for providing Figma layout info to AI coding agents | A collection of MCP servers | | Stars | 15,711 | 90,602 | | Forks | 1,250 | 12,821 | | Open issues | 25 | 2,557 | | Language | TypeScript | - | | Adopt for | Figma-Context-MCP is a TypeScript-based MCP server designed to facilitate the extraction of layout information from Figma projects for AI coding agents such as Cursor. | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | | Persona | - | - | | Runtime | - | - | | License | Figma-Context-MCP is available under the MIT License, allowing for flexible use and modification in both personal and commercial projects. | MIT | | Categories | AI Agents, Developer Tools | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Figma-Context-MCP](/tools/glips-figma-context-mcp.md) | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 18d | 6d | | Open issues (now) | 25 | 2.6k | | Stars delta | +213 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Full report | [trust report](/tools/glips-figma-context-mcp/trust.md) | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | ## Decision facts: Figma-Context-MCP - **Requirements:** Development and operation require proficiency with TypeScript. - **Adopt for:** Figma-Context-MCP is a TypeScript-based MCP server designed to facilitate the extraction of layout information from Figma projects for AI coding agents such as Cursor. - **License detail:** Figma-Context-MCP is available under the MIT License, allowing for flexible use and modification in both personal and commercial projects. ## Decision facts: awesome-mcp-servers - **Adopt for:** awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. ## Choose when ### Choose Figma-Context-MCP if… - Requirements: Development and operation require proficiency with TypeScript.. - Tags unique to Figma-Context-MCP: cursor, figma, typescript. - Also covers AI Agents. - Figma-Context-MCP ships an MCP server manifest. - When you are using Cursor or a similar AI coding agent in conjunction with Figma and need accurate layout information extracted from your designs. ### Choose awesome-mcp-servers if… - Tags unique to awesome-mcp-servers: server-resources. - If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology. - More GitHub stars (91k vs 16k) - visibility, not fit. ## When NOT to use Figma-Context-MCP - Do not use if you are exclusively working on projects without a requirement for AI intervention in the coding process based on Figma designs. - If you do not utilize Figma as your primary design tool, or if your workflow does not include TypeScript-based services, this may not be suitable. ## When NOT to use awesome-mcp-servers - Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ## Common questions ### What is the difference between Figma-Context-MCP and awesome-mcp-servers? Figma-Context-MCP: MCP server for providing Figma layout info to AI coding agents. awesome-mcp-servers: A collection of MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose Figma-Context-MCP over awesome-mcp-servers? Choose Figma-Context-MCP over awesome-mcp-servers when Requirements: Development and operation require proficiency with TypeScript.; Tags unique to Figma-Context-MCP: cursor, figma, typescript; Also covers AI Agents; Figma-Context-MCP ships an MCP server manifest; When you are using Cursor or a similar AI coding agent in conjunction with Figma and need accurate layout information extracted from your designs. ### When should I choose awesome-mcp-servers over Figma-Context-MCP? Choose awesome-mcp-servers over Figma-Context-MCP when Tags unique to awesome-mcp-servers: server-resources; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology; More GitHub stars (91k vs 16k) - visibility, not fit. ### When should I avoid Figma-Context-MCP? Do not use if you are exclusively working on projects without a requirement for AI intervention in the coding process based on Figma designs. If you do not utilize Figma as your primary design tool, or if your workflow does not include TypeScript-based services, this may not be suitable. ### When should I avoid awesome-mcp-servers? Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ### Is Figma-Context-MCP or awesome-mcp-servers more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 15,711). Stars measure visibility, not whether either tool fits your constraints. ### Are Figma-Context-MCP and awesome-mcp-servers open source? Yes - both are open-source projects on GitHub (Figma-Context-MCP: MIT, awesome-mcp-servers: MIT). ### Where can I find alternatives to Figma-Context-MCP or awesome-mcp-servers? GraphCanon lists graph-backed alternatives at [Figma-Context-MCP alternatives](/tools/glips-figma-context-mcp/alternatives) and [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) ([Figma-Context-MCP markdown twin](/tools/glips-figma-context-mcp/alternatives.md), [awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/glips-figma-context-mcp-vs-punkpeye-awesome-mcp-servers.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Figma-Context-MCP or awesome-mcp-servers? Figma-Context-MCP: Active. awesome-mcp-servers: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for Figma-Context-MCP and awesome-mcp-servers? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Figma-Context-MCP trust report](/tools/glips-figma-context-mcp/trust); [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=glips-figma-context-mcp`](/api/graphcanon/graph?tool=glips-figma-context-mcp) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_