Prototypr.ai MCP Documentation
Welcome to the prototypr.ai MCP docs! This section will provide you with in depth information and guidance about how to use the new prototypr.ai MCP server.
Table of Contents
This section will cover the following:
What is Model Context Protocol?
Model Context Protocol (MCP) establishes an open standard for connecting applications with Large Language Models (LLMs). It provides a consistent way for software to surface functionality and context as structured tools, enabling LLMs to move beyond static responses and engage directly with application workflows.
By aligning on MCP, developers can ensure their tools are broadly compatible with AI assistants across different platforms without requiring vendor-specific integrations.
If you would like to learn more about MCP, the benefits, and how MCP servers are different from a traditional API, please check out our detailed guide: How to Build an MCP Server.
Bring prototypr.ai MCP Servers into your own AI Workflow
prototypr.ai offers a number of different MCP tools that help users manage experiments, search for designs and pull data. To access these tools you'll need to generate a prototypr.ai API key and then add the mcp.json settings into your favourite MCP Client.
For complete breakdown of the available tools and how to set up and connect to each MCP endpoint, please click on the links below.
prototypr.ai MCP
Search and Export designs from your workspace and the Community Marketplace
Google Analytics MCP
A custom built Google Analytics MCP to help you query data from Google Analytics
Experiments Toolkit MCP
Tools to help you design and manage experiments and search for examples from our Experiment library
MCP Guides
If you are interested in building your own MCP server in python, check out our handy post to help you get started.
How to Build a MCP Server - A Practical Guide
Get started with building a simple MCP server in python that acts as a bridge between systems.
MCP FAQ
Currently, access to prototypr.ai MCP is limited to Plus & Pro members. Plus memberships is priced at $29/month.
As part of the free trial, you get 5 requests to search or import code from your AI Workspace or the marketplace. Upgrading to Plus removes these limits.
To cover the costs of serving leading LLMs such as ChatGPT and Google Gemini, we charge for MCP access. This supports bringing you great new tools.