ai-mldesign

Freepik

freepik-company

by freepik-company

Freepik integration for searching and downloading icons, managing design assets, and generating images via text-to-image

Integrates with Freepik's API for searching and downloading icons, managing design resources, and generating images through text-to-image capabilities with job tracking and completion polling.

github stars

33

0 commentsdiscussion

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

Direct Freepik API integrationAI-powered image generationRequires API key

best for

  • / Designers needing quick access to stock assets
  • / AI workflows requiring visual content generation
  • / Content creators automating image sourcing

capabilities

  • / Search and download Freepik icons
  • / Generate images using text prompts
  • / Classify and analyze images automatically
  • / Manage multimedia design resources
  • / Track image generation job status
  • / Download icons in multiple formats

what it does

Connects AI assistants to Freepik's API for searching icons, managing design resources, and generating images with AI.

about

Freepik is an official MCP server published by freepik-company that provides AI assistants with tools and capabilities via the Model Context Protocol. Freepik integration for searching and downloading icons, managing design assets, and generating images via text-to-image It is categorized under ai ml, design.

how to install

You can install Freepik 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 supports remote connections over HTTP, so no local installation is required.

license

MIT

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

readme

Freepik MCP

🚀 MCP Server for seamless Freepik API integration

🎯 What is this?

A Model Context Protocol (MCP) server that connects your AI assistants (Claude, Cursor, etc.) directly with Freepik's powerful APIs. Generate, search, and manage visual content without leaving your AI workflow.

🛠️ What tools are available?

  • 🎨 Icon Search & Download - Find and download icons in multiple formats
  • 📁 Resource Management - Access and manage multimedia content
  • 🤖 AI Image Classification - Automatically classify and analyze images
  • 🖼️ Image Generation - Create custom images using Mystic AI

📋 Prerequisites

Before you start, make sure you have:

🚀 Installation

1. Clone and navigate

git clone <REPOSITORY_URL>
cd freepik-mcp

2. Install using Makefile

# Install dependencies
make install

# Verify installation
make version

3. Configure your API Key

echo "FREEPIK_API_KEY=your_api_key_here" > .env

💡 Get your API Key at: freepik.com/api

⚙️ Configuration for AI Assistants

For Claude Desktop or Cursor on Linux

Add this to your config.json file:

⚠️ For Windows users: If you're on Windows, you need to use WSL (Windows Subsystem for Linux) to run this MCP server.

{
  "mcpServers": {
    "freepik-fastmcp": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/FULL/PATH/TO/freepik-mcp",
        "main.py"
      ],
      "env": {
        "FREEPIK_API_KEY": "your_actual_api_key_here"
      }
    }
  }
}

🔧 Important Configuration Steps

  1. Find your full path:

    pwd
    # Copy the output and replace /FULL/PATH/TO/ in the config
    
  2. Replace with your API key:

🏃‍♂️ Quick Start

# Development mode (auto-reload)
make dev

# Production mode
make run

# Check code quality
make lint

# Format code
make format

# Clean temporary files
make clean

# See all commands
make help

🤝 Contributing

We welcome contributions! Please follow these guidelines:

📝 Commit Convention

This project uses Conventional Commits. Format your commits as:

<type>(<scope>): <description>

[optional body]

[optional footer(s)]

Types:

  • feat: New feature
  • fix: Bug fix
  • docs: Documentation changes
  • style: Code style changes (formatting, etc.)
  • refactor: Code refactoring
  • test: Adding or updating tests
  • chore: Maintenance tasks

Examples:

feat(icons): add search filtering by category
fix(api): resolve authentication timeout issue
docs(readme): update installation instructions
refactor(mystic): improve error handling logic

🔄 Contribution Workflow

  1. Fork the repository
  2. Create a feature branch: git checkout -b feat/amazing-feature
  3. Commit using conventional format: git commit -m "feat: add amazing feature"
  4. Push to your branch: git push origin feat/amazing-feature
  5. Open a Pull Request

📚 Development Commands

CommandDescription
make helpShow all available commands
make installInstall dependencies
make devRun in development mode
make runRun in production mode
make lintCheck code quality
make formatFormat code automatically
make cleanClean temporary files
make versionCheck FastMCP version

🛡️ Security

  • ⚠️ Never commit your API Key
  • ✅ Use .env files for sensitive data
  • ✅ The .env file is in .gitignore

📖 API Documentation

For detailed API information:

🆘 Troubleshooting

Common issues:

  1. "Command not found" → Install uv dependency manager
  2. "Invalid API Key" → Check your key at freepik.com/api
  3. "Path not found" → Verify the full path in your config
  4. "Connection refused" → Make sure the server is running with make dev

Still having issues? Open an issue on GitHub with:

  • Your OS and Python version
  • Full error message
  • Configuration file (without API key)

Ready to create amazing content with AI? 🎨✨

FAQ

What is the Freepik MCP server?
Freepik 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 Freepik?
This profile displays 74 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.4 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

4.474 reviews
  • Chaitanya Patil· Dec 28, 2024

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

  • Yuki Diallo· Dec 28, 2024

    Freepik has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Omar Flores· Dec 12, 2024

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

  • Naina Zhang· Dec 12, 2024

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

  • Evelyn Mensah· Dec 8, 2024

    Freepik is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Hassan Huang· Nov 27, 2024

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

  • Piyush G· Nov 19, 2024

    Freepik has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Kiara Verma· Nov 19, 2024

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

  • Meera Malhotra· Nov 3, 2024

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

  • Meera Mehta· Nov 3, 2024

    Freepik has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

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