Provides local-first memory storage and retrieval with automatic embedding, vector search, and knowledge graph capabilities. Enables agents to store memories locally and retrieve relevant context through hybrid search with optional Neo4j graph traversal.
A demonstration MCP server providing basic tools for returning greetings and performing mathematical addition. It serves as a practical workshop guide for setting up and configuring Model Context Protocol servers from scratch using Python.
Enables AI assistants to explore computer vision datasets, execute operators, and build workflows through natural language using FiftyOne's operator framework with 80+ built-in operators and plugin management capabilities.
Enables Claude to interact directly with Figma Desktop for creating UI components, managing design tokens, and auditing files through natural language. It establishes a live connection between the AI and the Figma API via a local server and companion plugin.
experimental gen ai mcp server to generate figma tokens
Enables AI assistants to interact with Figma designs programmatically, supporting comprehensive design automation including text manipulation with formatting preservation, batch operations, prototyping, auto-layout configuration, and component management.
Provides AI assistants with structured access to complete Figma developer documentation, including Plugin, Widget, and REST APIs. It enables users to search and read over 600 documentation pages to facilitate Figma-related development tasks.
Enables AI agents to interact with Figma to create, read, and manage designs using the Figma REST API and a dedicated plugin. It supports advanced features like UI generation from text, webpage reconstruction in Figma, and design token synchronization with codebases.
Figma MCP Bridge is a combined Figma plugin and MCP server that bypasses Figma's free API rate limits by streaming live document data directly to AI tools via a local WebSocket connection instead of the standard cloud API.
Figma MCP server with full read/write access via plugin bridge — no API token, no rate limits. 58 tools for design automation: styles, variables, components, prototypes, and content.
A test of making a simple word editor using the Figma MCP server with Cursor. This test has been handholding cursor through all the components.
A test of making a simple word editor using the Figma MCP server with Cursor. This test is a one shot prompt from Figma with all the components created. No clean up in the code.
A simple MCP server for Figma
A server that converts Figma designs into pseudo-code structures optimized for LLMs to understand design context, allowing easy extraction of visual elements and code-like representations from Figma files.
Brings Figma designs directly into MCP-compatible environments to view specifications and export frames as high-resolution images. It features smart section splitting for large frames and integrates with Jira to automatically fetch designs from ticket links.
Enables AI assistants to read Figma design files and automatically map responsive relationships between mobile and desktop screens to generate accurate frontend code. Eliminates manual copy-pasting by providing direct access to design tokens, dimensions, and screen layouts within AI-powered IDEs.
Enables integration with Figma through the Model Context Protocol, allowing users to interact with Figma designs and files using their Personal Access Token. Provides containerized deployment options and Server-Sent Events endpoint for real-time communication.
Enables interaction with Figma files through tools that list projects/files, fetch design data, and generate React+Vite frontend code directly from Figma frames.
Gives AI-powered coding tools like Cursor, Windsurf, and Cline access to Figma design files, enabling more accurate code generation directly from Figma designs.
A Python-based MCP server that enables users to view, search, and edit Figma files and Notion documents through natural language commands. It features specialized tools for automated Figma design generation from text descriptions and integrated project tracking across Figma, Notion, and Asana.
