7 Best Figma-Context-MCP Alternatives in 2026 (Open Source)

Figma-Context-MCP — MCP server to provide Figma layout information to AI coding agents like Cursor. Provides simplified, relevant Figma layout information specifically optimized for AI coding agents rather than raw API data.

These 7 open-source tools do the same job. They are ordered by how closely they match Figma-Context-MCP, with live GitHub data so you can see which projects are actively maintained.

1. 1. Model Context Protocol servers

   Model Context Protocol Servers

   What sets it apart: vs custom tool implementations: standardized MCP protocol enables interoperability across Claude Desktop, Cursor, VS Code and any MCP client; vs LangChain tools: protocol-level standard rather than framework-specific

   Best for: Learning MCP protocol implementation; Building custom MCP servers; Adding tool access to LLM clients

   ⭐ 90.8kFigma-Context-MCP vs Model Context Protocol servers →Full profile →

2. 2. MCP Go

   A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

   What sets it apart: The leading community Go implementation of MCP — high-level API with minimal boilerplate vs building raw JSON-RPC handlers

   Best for: Building MCP servers and clients in Go; Go-based AI tool infrastructure

   ⭐ 9.1kFigma-Context-MCP vs MCP Go →Full profile →

3. 3. MCP Python SDK

   The official Python SDK for Model Context Protocol servers and clients

   What sets it apart: Official Python SDK for MCP — the standard protocol for LLM-to-tool communication, backed by Anthropic, unlike proprietary function-calling APIs

   Best for: Building MCP servers to expose tools and data to LLM applications; Integrating Python services with Claude Desktop or other MCP clients

   ⭐ 24.4kFigma-Context-MCP vs MCP Python SDK →Full profile →

4. 4. MCP TypeScript SDK

   The official TypeScript SDK for Model Context Protocol servers and clients

   What sets it apart: The official reference TypeScript implementation of MCP — ensures full spec compliance and first-party support vs community implementations

   Best for: Building MCP-compatible tools and servers in TypeScript; Exposing data sources and tools to LLM applications via standard protocol

   ⭐ 13.5kFigma-Context-MCP vs MCP TypeScript SDK →Full profile →

5. 5. MCP

   Open source MCP Servers for AWS

   What sets it apart: Official AWS Labs implementation of MCP servers providing standardized access to AWS services for AI agents.

   Best for: Building AI agents that need AWS integration; Adding cloud capabilities to coding agents; Prototyping agent workflows with AWS services

   ⭐ 9.7kFigma-Context-MCP vs MCP →Full profile →

6. 6. GitHub MCP Server

   GitHub's official MCP Server

   What sets it apart: Official GitHub-provided MCP server for direct, secure integration of AI agents with GitHub's full platform capabilities.

   Best for: Developers connecting AI tools to GitHub; Automating repository management and code analysis; Building AI agents that interact with development workflows

   ⭐ 33.3kFigma-Context-MCP vs GitHub MCP Server →Full profile →

7. 7. MCP Toolbox for Databases

   MCP Toolbox for Databases is an open source MCP server for databases.

   What sets it apart: Provides both ready-to-use MCP server for database access and a framework for building custom, secure AI tools for production agents.

   Best for: Building AI agents that need database access; Creating secure database tools for production agents; Connecting MCP clients to enterprise data

   ⭐ 16.5kFigma-Context-MCP vs MCP Toolbox for Databases →Full profile →