The Figma MCP Server is a Model Context Protocol (MCP) server that gives Cursor access to Figma files. It simplifies and translates Figma API responses to provide only the most relevant layout and styling information, making AI more accurate when generating code from Figma design data.
Using the Figma MCP Server allows Cursor to fetch relevant metadata from Figma designs and implement them directly into code. This makes it far better at accurately one-shotting designs compared to alternative approaches like pasting screenshots, improving productivity for developers working with Figma designs.
Developers using Cursor as their AI coding assistant can benefit from the Figma MCP Server. Designers and teams integrating Figma designs into development workflows will also find value in streamlining the design-to-code process.
The Figma MCP Server can be used locally or integrated into a development environment where Cursor is being utilized. It connects to Cursor via HTTP mode and works seamlessly with tools like npm, pnpm, yarn, and bunx.
You should set up the Figma MCP Server when you need to streamline the conversion of Figma designs into code using Cursor. It's especially useful during early stages of UI development or whenever design updates are frequent.
You can quickly run the server without installation using commands like `npx figma-developer-mcp --figma-api-key=<your-figma-api-key>`. For local setup, clone the repository, install dependencies with `pnpm install`, configure your `.env` file, and run the server with `pnpm run dev`.
The server provides two main tools: `get_file`, which fetches information about a Figma file, and `get_node`, which fetches details about a specific node within a Figma file.
Start the server, then connect Cursor to the MCP server through its settings under the Features tab. Once connected, ensure there’s a valid connection indicated by a green dot in Cursor.
Yes, you can inspect responses using the `inspect` command, which launches the `@modelcontextprotocol/inspector` web UI for triggering tool calls and reviewing responses at http://localhost:5173.
No, VirusTotal and Figma MCP Server serve entirely different purposes. VirusTotal focuses on malware detection and analysis, while Figma MCP Server integrates Figma design data with AI coding agents like Cursor.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.