MCP Comparison
Compare features, tools, and capabilities of these MCP servers side by side.
Anki MCP Server
A Model Context Protocol (MCP) server that enables AI assistants to interact with Anki, the spaced repetition flashcard application. The Anki MCP Server allows AI models to access Anki's card data, enabling features like automated flashcard creation, review, and management.
Figma MCP server
The Figma MCP server enables design context delivery from Figma files to AI agents and code editors, empowering teams to generate code directly from design selections. It supports both a remote hosted server and a locally hosted desktop server, allowing seamless integration with popular editors through Code Connect and a suite of tools that extract design context, metadata, variables, and more. This guide covers enabling the MCP server, configuring clients (VS Code, Cursor, Claude Code, and others), and using a curated set of MCP tools to fetch structured design data for faster, more accurate code generation. It also explains best practices, prompts, and integration workflows that help teams align generated output with their design systems. The documentation includes concrete JSON examples for configuring servers in editors like VS Code and Cursor, as well as command examples for Claude Code integration and plugin installation.
| Feature | Anki MCP Server | Figma MCP server |
|---|---|---|
| Verified | ||
| Official | ||
| Tools Available | 1 | 8 |
| Has Installation Guide | ||
| Has Examples | ||
| Website | ||
| Source Code |
- get_cards
- get_design_context
- get_variable_defs
- get_code_connect_map
- get_screenshot
- create_design_system_rules
- get_metadata
- get_figjam
- whoami
Can't decide? Check out both MCP servers for more details.