--- title: "Figma-Context-MCP vs MCPJungle" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/glips-figma-context-mcp-vs-mcpjungle-mcpjungle" tools: ["glips-figma-context-mcp", "mcpjungle-mcpjungle"] --- # Figma-Context-MCP vs MCPJungle *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 MCPJungle if mCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure. [Figma-Context-MCP](https://www.framelink.ai/) reports 16k GitHub stars, 1.3k forks, and 25 open issues, last pushed Aug 7, 2026. [MCPJungle](https://docs.mcpjungle.com) has 1.2k stars, 148 forks, and 92 open issues, last pushed May 20, 2026. Figures are from public GitHub metadata via [Figma-Context-MCP's repository](https://github.com/GLips/Figma-Context-MCP) and [MCPJungle's repository](https://github.com/mcpjungle/MCPJungle). | | [Figma-Context-MCP](/tools/glips-figma-context-mcp.md) | [MCPJungle](/tools/mcpjungle-mcpjungle.md) | | --- | --- | --- | | Tagline | MCP server for providing Figma layout info to AI coding agents | A platform to manage and connect MCP servers | | Stars | 15,711 | 1,174 | | Forks | 1,250 | 148 | | Open issues | 25 | 92 | | Language | TypeScript | Go | | 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. | MCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure. | | Persona | - | - | | Runtime | - | - | | License | Figma-Context-MCP is available under the MIT License, allowing for flexible use and modification in both personal and commercial projects. | MCPJungle is available under the MPL-2.0 license, which permits changes and reuse but mandates that derivative software retain its open status. | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Figma-Context-MCP](/tools/glips-figma-context-mcp.md) | [MCPJungle](/tools/mcpjungle-mcpjungle.md) | | --- | --- | --- | | Maintenance | Active (82%) | Steady (60%) | | Days since push | 18d | 67d | | Open issues (now) | 25 | 92 | | Stars delta | +213 (30d) | Unknown | | Open issues delta | +3 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/glips-figma-context-mcp/trust.md) | [trust report](/tools/mcpjungle-mcpjungle/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: MCPJungle - **Pricing:** freemium - The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided. - **Requirements:** Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support. - **Adopt for:** MCPJungle is a self-hosted Go platform designed for managing and connecting MCP servers within AI agent infrastructure. - **License detail:** MCPJungle is available under the MPL-2.0 license, which permits changes and reuse but mandates that derivative software retain its open status. ## Choose when ### Choose Figma-Context-MCP if… - Figma-Context-MCP is primarily TypeScript; MCPJungle is Go. - License: Figma-Context-MCP is MIT, MCPJungle is MPL-2.0. - Requirements: Development and operation require proficiency with TypeScript.. - Tags unique to Figma-Context-MCP: ai, cursor, figma, mcp. - Also covers Developer Tools. - 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 MCPJungle if… - MCPJungle is primarily Go; Figma-Context-MCP is TypeScript. - License: MCPJungle is MPL-2.0, Figma-Context-MCP is MIT. - Pricing: The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided.. - Requirements: Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support.. - Tags unique to MCPJungle: ai-agents, infrastructure, mcp-server, model-context-protocol. - MCPJungle ships Docker support for self-hosted deployment. - When you require a Go-based solution to manage Model Context Protocol (MCP) servers in your infrastructure, MCPJungle can offer the needed features for self-hosting these servers. ## 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 MCPJungle - Do not use MCPJungle if you do not have an existing environment based on the Model Context Protocol; it adds unnecessary complexity. - Avoid MCPJungle if your project requires a language other than Go, as its exclusive development in Go might limit flexibility across different stack requirements. ## Common questions ### What is the difference between Figma-Context-MCP and MCPJungle? Figma-Context-MCP: MCP server for providing Figma layout info to AI coding agents. MCPJungle: A platform to manage and connect MCP servers. See the comparison table for live GitHub stats and shared categories. ### When should I choose Figma-Context-MCP over MCPJungle? Choose Figma-Context-MCP over MCPJungle when Figma-Context-MCP is primarily TypeScript; MCPJungle is Go; License: Figma-Context-MCP is MIT, MCPJungle is MPL-2.0; Requirements: Development and operation require proficiency with TypeScript.; Tags unique to Figma-Context-MCP: ai, cursor, figma, mcp; Also covers Developer Tools; 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 MCPJungle over Figma-Context-MCP? Choose MCPJungle over Figma-Context-MCP when MCPJungle is primarily Go; Figma-Context-MCP is TypeScript; License: MCPJungle is MPL-2.0, Figma-Context-MCP is MIT; Pricing: The platform can be used freely due to its open-source license, with no explicit premium or commercial tier information provided.; Requirements: Ensure your environment supports the Go language for compatibility.; MCPJungle is designed specifically for managing MCP servers; other server types may not be compatible without additional support.; Tags unique to MCPJungle: ai-agents, infrastructure, mcp-server, model-context-protocol; MCPJungle ships Docker support for self-hosted deployment; When you require a Go-based solution to manage Model Context Protocol (MCP) servers in your infrastructure, MCPJungle can offer the needed features for self-hosting these servers. ### 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 MCPJungle? Do not use MCPJungle if you do not have an existing environment based on the Model Context Protocol; it adds unnecessary complexity. Avoid MCPJungle if your project requires a language other than Go, as its exclusive development in Go might limit flexibility across different stack requirements. ### Is Figma-Context-MCP or MCPJungle more popular on GitHub? Figma-Context-MCP has more GitHub stars (15,711 vs 1,174). Stars measure visibility, not whether either tool fits your constraints. ### Are Figma-Context-MCP and MCPJungle open source? Yes - both are open-source projects on GitHub (Figma-Context-MCP: MIT, MCPJungle: MPL-2.0). ### Where can I find alternatives to Figma-Context-MCP or MCPJungle? GraphCanon lists graph-backed alternatives at [Figma-Context-MCP alternatives](/tools/glips-figma-context-mcp/alternatives) and [MCPJungle alternatives](/tools/mcpjungle-mcpjungle/alternatives) ([Figma-Context-MCP markdown twin](/tools/glips-figma-context-mcp/alternatives.md), [MCPJungle markdown twin](/tools/mcpjungle-mcpjungle/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-mcpjungle-mcpjungle.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 MCPJungle? Figma-Context-MCP: Active. MCPJungle: Steady. 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 MCPJungle? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Figma-Context-MCP trust report](/tools/glips-figma-context-mcp/trust); [MCPJungle trust report](/tools/mcpjungle-mcpjungle/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/_