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Framer Plugin MCP Server

MCP Server

Build Framer plugins with integrated Web3 features

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Updated 17 days ago

About

A Model Context Protocol server that enables developers to create, build, and manage Framer plugins with built‑in Web3 capabilities such as wallet connections, smart contract interactions, and NFT displays.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Framer Plugin MCP Server bridges the gap between AI assistants and Framer’s design‑centric plugin ecosystem, adding powerful Web3 capabilities to every new or existing plugin. By exposing a set of MCP tools, the server lets an AI assistant—such as Claude or Cursor—directly scaffold a fresh plugin project, inject wallet connectivity, smart‑contract hooks, and NFT display components, and then compile the package for production. This workflow eliminates repetitive boilerplate work, ensuring that designers and developers can focus on creative logic rather than configuration details.

What problem does it solve?

Developing a Framer plugin that interacts with blockchain networks typically requires manual setup of wallet adapters, contract ABIs, and UI components for NFT rendering. The server automates this entire pipeline: it generates the folder structure, installs necessary dependencies, and pre‑configures integration points. For teams that rely on AI assistants to generate code snippets or documentation, this tool guarantees consistent project scaffolding across environments and reduces onboarding friction for new contributors.

Core capabilities

  • : Instantiates a complete Framer plugin skeleton with optional Web3 features—wallet connect, contract interaction, and NFT display. Parameters allow fine‑grained control over the name, description, output path, and chosen features.
  • : Compiles a plugin project for deployment, handling bundling, minification, and asset packaging in a single command.
  • Integrated Web3 support: The server bundles standard wallet connectors (e.g., MetaMask, WalletConnect) and exposes contract‑interaction hooks that can be called directly from Framer frames. NFT display components come pre‑styled and ready for use, simplifying the creation of visually rich dApp interfaces.

Why it matters for developers

With the MCP server, AI assistants can now act as full‑stack co‑developers. A designer might ask the assistant to “create a new NFT gallery plugin that connects to the Polygon network,” and the server will generate all necessary code, configuration, and assets. This level of automation speeds up iteration cycles, enforces best practices, and ensures that every plugin follows a consistent structure—critical for maintainability in larger teams.

Real‑world use cases

  • Rapid prototyping: Designers can quickly spin up a proof‑of‑concept plugin that showcases wallet authentication and NFT ownership without writing boilerplate code.
  • Educational projects: In workshops or bootcamps, instructors can demonstrate how to build Web3‑enabled Framer plugins while students focus on UI/UX rather than plumbing.
  • Enterprise tooling: Companies building internal dashboards can generate plugins that integrate with proprietary smart contracts, reducing the time to market for blockchain‑enabled features.

Unique advantages

  • MCP‑native integration: Unlike generic CLI tools, this server speaks the MCP protocol directly, enabling seamless communication with AI assistants without additional adapters.
  • Pre‑configured Web3 stack: The tool bundles a vetted set of wallet connectors and contract libraries, lowering the barrier to entry for developers unfamiliar with blockchain tooling.
  • End‑to‑end workflow: From creation to production build, the entire lifecycle is exposed through a small set of intuitive MCP commands, allowing developers to script or automate complex pipelines with minimal effort.

In summary, the Framer Plugin MCP Server empowers AI assistants to deliver fully functional, Web3‑ready Framer plugins instantly. By handling scaffolding, configuration, and production builds in a single, AI‑friendly interface, it accelerates development, promotes consistency, and unlocks new possibilities for designers and developers working at the intersection of UI/UX and decentralized technologies.