ai-mldesign

Recraft AI

recraft-ai

by recraft-ai

Recraft AI is an ai image generator for creating, editing, and upscaling raster or vector images with advanced artificia

Integrates with Recraft's image generation API to create and edit raster and vector images, apply custom styles, manipulate backgrounds, upscale images, and perform vectorization with fine-grained control over artistic properties.

github stars

46

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Supports both raster and vector formatsCustom style creation and applicationRequires Recraft API key

best for

  • / Designers creating custom artwork and illustrations
  • / Content creators needing both raster and vector assets
  • / Developers building image-heavy applications
  • / Anyone requiring high-quality image generation with style control

capabilities

  • / Generate raster and vector images from text prompts
  • / Edit existing images with precise modifications
  • / Create custom artistic styles for image generation
  • / Remove and replace image backgrounds
  • / Upscale raster images to higher resolutions
  • / Convert raster images to vector format

what it does

Connects to Recraft's API to generate, edit, and manipulate both raster and vector images with fine-grained artistic control.

about

Recraft AI is an official MCP server published by recraft-ai that provides AI assistants with tools and capabilities via the Model Context Protocol. Recraft AI is an ai image generator for creating, editing, and upscaling raster or vector images with advanced artificia It is categorized under ai ml, design.

how to install

You can install Recraft AI in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Recraft AI is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

readme


Recraft MCP Server

npm version npm downloads smithery badge
This is an MCP ([Model Context Protocol](https://modelcontextprotocol.io/)) server integrating MCP clients with [Recraft](https://recraft.ai/)'s raster- and vector-image operations: - raster and vector image generation - raster and vector image editing - creating custom styles and generating images in them - vectorization of raster images - background removal and replacement - upscaling of raster images By connecting this MCP server to your MCP client you will be able to generate high-quality raster and vector images using Recraft, combining different tools. # Table of Contents - [Table of Contents](#table-of-contents) - [Setup](#setup) - [Prerequisites](#prerequisites) - [Claude Desktop Extensions](#claude-desktop-extensions) - [Smithery](#smithery) - [Manual Setup](#manual-setup) - [From NPM](#from-npm) - [From source](#from-source) - [Tools](#tools) # Setup ## Prerequisites - First of all, you will need a [Recraft API](https://www.recraft.ai/docs) key. To obtain it, register your account on [Recraft](https://www.recraft.ai); then go to your [profile API page](https://www.recraft.ai/profile/api). Here you can buy API units (credits) and generate an API key. - You will need to have an MCP client installed, for example [Claude Desktop](https://claude.ai/download). ## Claude Desktop Extensions If you are using [Claude Desktop](https://claude.ai/download) you can set up this server using [Claude Desktop Extensions](https://www.anthropic.com/engineering/desktop-extensions). - Download `mcp-recraft-server.dxt` from the [latest release](https://github.com/recraft-ai/mcp-recraft-server/releases/latest/download/mcp-recraft-server.dxt) - Double-click the file to open it with Claude Desktop - Click Install - Fill out the form - Enable the server In the form you need to paste your Recraft API key obtained on your [profile API page](https://www.recraft.ai/profile/api). You can also specify a local path for generated image storage or indicate that all results should be stored remotely. In case of installation issues, check that you have the latest version of [Claude Desktop](https://claude.ai/download). ## Smithery You can find this MCP server on [Smithery](https://smithery.ai/server/@recraft-ai/mcp-recraft-server). If this MCP is installed from Smithery, all generation results will be stored remotely. Use Desktop Extensions or Manual Setup to store generation results on your local device. ## Manual Setup You're going to need Node running on your machine so you can run `npx` or `node` commands in your terminal. If you don't have Node, you can install it from [nodejs.org](https://nodejs.org/en/download). ### From NPM Modify your `claude_desktop_config.json` file to add the following: ```json { "mcpServers": { "recraft": { "command": "npx", "args": [ "-y", "@recraft-ai/mcp-recraft-server@latest" ], "env": { "RECRAFT_API_KEY": "", "IMAGE_STORAGE_DIRECTORY": "", "RECRAFT_REMOTE_RESULTS_STORAGE": "" } } } } ``` ### From source Clone this repository: ```bash git clone https://github.com/recraft-ai/mcp-recraft-server.git ``` In the directory with cloned repository run: ```bash npm install npm run build ``` Modify your `claude_desktop_config.json` file to add the following: ```json { "mcpServers": { "recraft": { "command": "node", "args": ["/dist/index.js"], "env": { "RECRAFT_API_KEY": "", "IMAGE_STORAGE_DIRECTORY": "", "RECRAFT_REMOTE_RESULTS_STORAGE": "" } } } } ``` You can specify these parameters: - `RECRAFT_API_KEY`: mandatory parameter, your [Recraft API](https://www.recraft.ai/profile/api) key. - `IMAGE_STORAGE_DIRECTORY`: optional parameter, you can specify the directory in which all generated images will be stored. By default this directory is `$HOME_DIR/.mcp-recraft-server`. If `RECRAFT_REMOTE_RESULTS_STORAGE="1"`, the value of this parameter is ignored. - `RECRAFT_REMOTE_RESULTS_STORAGE`: optional parameter, you can set the value to `"1"`, in this case all generated images will be stored remotely and their URLs will be returned. Also, `IMAGE_STORAGE_DIRECTORY` will be ignored in this case. # Tools In this MCP you can use the following tools: | Tool Name | Description | Parameters | Price | |-----------|-------------|------------|-------| | `generate_image` | Generates raster/vector images from prompt | - prompt
- style
- size
- model
- number of images | \$0.04/\$0.08 per raster/vector image | | `create_style` | Creates a style from the list of images | - list of images
- basic style | \$0.04 | | `vectorize_image` | Vectorizes raster image | - image | \$0.01 | | `image_to_image` | Generates raster/vector images from image and prompt | - image
- prompt
- similarity strength
- style
- size
- model
- number of images | \$0.04/\$0.08 per raster/vector image | | `remove_background` | Removes background in image | - image | \$0.01 | | `replace_background` | Generates new background in image from prompt | - image
- prompt for background
- style
- size
- model
- number of images | \$0.04/\$0.08 per raster/vector image | | `crisp_upscale` | Crisp upscale of image | - image | \$0.004 | | `creative_upscale` | Creative upscale of image | - image | \$0.25 | | `get_user` | Get information about the user and left balance | | | You can find the detailed explanation of tools, their parameters, and prices in [Recraft API docs](https://recraft.ai/docs).

FAQ

What is the Recraft AI MCP server?
Recraft AI is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Recraft AI?
This profile displays 74 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.

Use Cases

Extended AI Capabilities

Add new capabilities to Claude beyond text generation

Example

Access external data sources, execute code, interact with tools and services

Transform Claude from chatbot to action-taking agent

Context Enhancement

Provide Claude with access to relevant context and data

Example

Load project documentation, access knowledge bases, query databases

Get more accurate, context-aware responses

Workflow Automation

Automate multi-step workflows combining AI and external tools

Example

Research → Summarize → Create document → Send notification

Complete complex tasks end-to-end without manual steps

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor IDE with MCP support
  • Basic understanding of MCP architecture and capabilities
  • Access credentials for integrated services (if required)
  • Willingness to experiment and iterate on configuration

Time Estimate

15-60 minutes depending on server complexity

Installation Steps

  1. 1.Install MCP server: npm install -g [package-name] or via GitHub
  2. 2.Add server configuration to ~/.claude/mcp.json
  3. 3.Provide required credentials and configuration
  4. 4.Restart Claude Desktop to load new server
  5. 5.Test basic functionality with simple prompts
  6. 6.Explore capabilities and experiment with use cases
  7. 7.Document successful patterns for reuse

Troubleshooting

  • MCP server not loading: Check config syntax, verify installation
  • Connection errors: Check network, firewall, credentials
  • Feature not working: Read server docs, check required parameters
  • Performance issues: Monitor resource usage, check for network latency
  • Conflicts with other servers: Check port assignments, namespace collisions

Best Practices

✓ Do

  • +Read server documentation thoroughly before setup
  • +Start with simple use cases to validate functionality
  • +Test in non-production environment first
  • +Monitor resource usage and performance
  • +Keep servers updated for bug fixes and new features
  • +Document configuration for team members
  • +Use environment variables for sensitive configuration

✗ Don't

  • Don't grant overly permissive access to MCP servers
  • Don't skip reading security considerations in docs
  • Don't expose sensitive data without proper controls
  • Don't run untrusted MCP servers without code review
  • Don't ignore error messages—investigate root cause

💡 Pro Tips

  • Combine multiple MCP servers for powerful workflows
  • Create custom MCP servers for your specific needs
  • Share successful configurations with team
  • Use MCP inspector for debugging
  • Join MCP community for tips and troubleshooting

Technical Details

Architecture

Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.

Protocols

  • Model Context Protocol (MCP)
  • JSON-RPC 2.0
  • stdio or HTTP transport

Compatibility

  • Claude Desktop
  • Cursor IDE
  • Custom MCP clients

When to Use This

✓ Use When

Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.

✗ Avoid When

Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.

Integration

  • Tool composition: Chain multiple MCP tools in workflows
  • Context augmentation: Provide AI with relevant external data
  • Action delegation: Let AI execute tasks on external systems
  • Bidirectional sync: Keep AI context and external systems in sync

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.774 reviews
  • Michael Patel· Dec 24, 2024

    According to our notes, Recraft AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Chinedu Chawla· Dec 24, 2024

    We evaluated Recraft AI against two servers with overlapping tools; this profile had the clearer scope statement.

  • Dhruvi Jain· Dec 12, 2024

    Recraft AI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Isabella Zhang· Dec 12, 2024

    Recraft AI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Pratham Ware· Dec 8, 2024

    According to our notes, Recraft AI benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Luis Verma· Dec 8, 2024

    I recommend Recraft AI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kofi Abbas· Nov 27, 2024

    Recraft AI reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Zara Menon· Nov 15, 2024

    We wired Recraft AI into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.

  • Oshnikdeep· Nov 3, 2024

    I recommend Recraft AI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Fatima Taylor· Nov 3, 2024

    I recommend Recraft AI for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

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