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What is slicer.dev?

slicer.dev is an advanced browser extension that streamlines the process of extracting and reusing components from any website, allowing users to effortlessly capture both static and interactive elements and integrate them into their projects. Users can navigate to a webpage and choose a specific element or section, with the tool providing exports in multiple formats, including React code or AI-friendly prompts for platforms like Lovable, Bolt, v0, and Cursor. Designed to preserve the full structure and functionality of components, the extension ensures that animations and interactive features are duplicated with remarkable accuracy, eliminating the need for tedious manual dissection of HTML and CSS. This groundbreaking extension significantly improves the development workflow by converting real-world UI examples into reusable assets, thus greatly reducing development time and effort. Moreover, slicer.dev supports the selection of both parent and child elements, allowing for precise extraction and organized outputs that enhance user experience. By empowering developers to speed up their projects without sacrificing design quality, slicer.dev truly transforms the way digital assets are handled. In turn, this enables a more efficient approach to project completion, fostering creativity and innovation in web development.

What is WebMCP?

WebMCP is an open-source JavaScript library that simplifies the incorporation of the Model Context Protocol into any website, enabling users to interact with web pages through an AI agent or language model. Developers can easily add WebMCP to their sites with a simple script, which activates a small widget that facilitates communication between the webpage and an MCP client. Once this connection is made, websites can leverage a range of MCP features, including tools, prompts, resources, and sampling capabilities. Tools allow an LLM to perform specific actions on the website by utilizing predefined functions that dictate their inputs and outputs. Prompts are designed as reusable templates for common LLM interactions, which can include dynamic arguments to enhance functionality. Resources grant access to webpage data and content that clients can use for contextual engagement, covering everything from page text to specific elements, files, and other organized information. Furthermore, WebMCP supports sampling, enabling the server to request LLM completions via the connected client while ensuring that human oversight is maintained throughout the interaction. This array of features not only enhances the interactivity of web applications but also enriches the overall user experience by making it more responsive and engaging. Ultimately, developers can create innovative solutions that utilize AI in a user-friendly manner.

Media

Media

Integrations Supported

Bolt.new
CSS
Canvas
Cursor
Figma
Framer
Google Chrome
Lovable
Notion
React
v0

Integrations Supported

BayPoint AI
Claude Desktop
JavaScript
Model Context Protocol (MCP)
Persona

API Availability

API Availability

Pricing Information

€10 per month
Free Version

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

slicer.dev

Company Location

United States

Company Website

slicer.dev/

Company Facts

Organization Name

WebMCP

Company Location

United States

Company Website

webmcp.dev/

Categories and Features

AI Tools

Not specified

Categories and Features

Agentic AI

Not specified

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