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Openverse

neno-is-ooo

by neno-is-ooo

Search Creative Commons images with Openverse to find CC images and illustrations for academic content, including detail

Integrates with Openverse's Creative Commons image collection to search and retrieve openly-licensed images with detailed filtering options, attribution information, and specialized essay illustration features for finding relevant academic content.

github stars

17

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

No API key neededDetailed license and attribution dataAcademic essay illustration features

best for

  • / Content creators needing legally-safe images
  • / Academic writers illustrating essays and papers
  • / Bloggers and journalists seeking CC-licensed visuals
  • / Designers working with open-source projects

capabilities

  • / Search Creative Commons and public domain images
  • / Filter by license type, file format, and aspect ratio
  • / Get detailed attribution information for images
  • / Find related images based on content
  • / Search for essay-specific illustration content
  • / Filter by image source and creator

what it does

Searches Openverse's Creative Commons image collection to find freely-licensed images with detailed filtering and attribution information.

about

Openverse is a community-built MCP server published by neno-is-ooo that provides AI assistants with tools and capabilities via the Model Context Protocol. Search Creative Commons images with Openverse to find CC images and illustrations for academic content, including detail It is categorized under search web, other.

how to install

You can install Openverse 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

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

readme

@mcp/openverse

An MCP (Model Context Protocol) server that provides tools for searching and fetching openly-licensed images from Openverse.

<a href="https://glama.ai/mcp/servers/@neno-is-ooo/mcp-openverse"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@neno-is-ooo/mcp-openverse/badge" alt="@mcp/openverse MCP server" /> </a>

Features

  • 🔍 Search for CC-licensed and public domain images
  • 🎨 Filter by license type, source, file format, and more
  • 📊 Get detailed image information including attribution
  • 🔗 Find related images
  • 📝 Essay-specific image search for content illustration
  • ⚡ Built with TypeScript and fastmcp for excellent performance

Installation

npm install -g @mcp/openverse

Or install from source:

git clone https://github.com/yourusername/mcp-openverse.git
cd mcp-openverse
npm install
npm run build
npm link

Usage

As an MCP Server

Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json):

{
  "mcpServers": {
    "openverse": {
      "command": "npx",
      "args": ["@mcp/openverse"]
    }
  }
}

Or if installed locally:

{
  "mcpServers": {
    "openverse": {
      "command": "node",
      "args": ["/path/to/mcp-openverse/dist/index.js"]
    }
  }
}

Available Tools

search_images

Search for openly-licensed images with various filters.

Parameters:

  • query (required): Search terms
  • page: Page number (default: 1)
  • page_size: Results per page (default: 20, max: 500)
  • license: License type (by, by-sa, by-nc, by-nd, cc0, etc.)
  • license_type: commercial or modification
  • creator: Filter by creator name
  • source: Filter by source (flickr, wikimedia, met, etc.)
  • extension: File type (jpg, png, gif, svg)
  • aspect_ratio: tall, wide, or square
  • size: small, medium, or large
  • mature: Include mature content (default: false)

Example:

// Search for nature photos with commercial license
{
  "query": "forest landscape",
  "page_size": 10,
  "license_type": "commercial",
  "extension": "jpg",
  "aspect_ratio": "wide"
}

get_image_details

Get detailed information about a specific image.

Parameters:

  • image_id (required): Openverse image ID (UUID format)

get_related_images

Find images related to a specific image.

Parameters:

  • image_id (required): The image ID to find related images for
  • page: Page number (default: 1)
  • page_size: Results per page (default: 10)

get_image_stats

Get statistics about available images by source.

No parameters required.

search_images_for_essay

High-level tool for finding images to illustrate essays or articles.

Parameters:

  • essay_topic (required): Main topic/title of the essay
  • concepts (required): Array of key concepts to find images for
  • style: photo, illustration, or any (default: any)
  • max_images: Maximum images to return (default: 10)

Example:

{
  "essay_topic": "Climate Change",
  "concepts": ["global warming", "renewable energy", "carbon emissions"],
  "style": "photo",
  "max_images": 15
}

Image Attribution

All images from Openverse come with attribution requirements. The API provides:

  • attribution: Pre-formatted attribution text
  • license: License code (e.g., 'by-sa')
  • license_url: Link to the license
  • creator: Original creator/photographer
  • creator_url: Link to creator's profile

Always include proper attribution when using images.

Rate Limits

The Openverse API has the following rate limits:

  • Anonymous: 100 requests/day, 5 requests/hour
  • Authenticated: 10,000 requests/day, 100 requests/minute

This MCP server currently uses anonymous access. For higher rate limits, consider implementing OAuth authentication.

Development

Building from Source

npm install
npm run build

Running in Development Mode

npm run dev

Testing the Server

You can test the server using the MCP inspector:

npx @modelcontextprotocol/inspector dist/index.js

Examples

Finding Images for a Blog Post

// Using the search_images_for_essay tool
{
  "essay_topic": "Sustainable Architecture",
  "concepts": ["green building", "solar panels", "eco-friendly design"],
  "style": "photo",
  "max_images": 10
}

Searching with Specific Requirements

// Using the search_images tool
{
  "query": "mountain landscape sunrise",
  "aspect_ratio": "wide",
  "license_type": "commercial",
  "extension": "jpg",
  "size": "large",
  "page_size": 20
}

License

MIT License - see LICENSE file for details.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Development Guidelines

  1. Follow TypeScript best practices
  2. Add tests for new features
  3. Update documentation
  4. Ensure all tools have proper error handling

Acknowledgments

  • Openverse for providing the API and openly-licensed content
  • WordPress for maintaining the Openverse project
  • fastmcp for the excellent MCP framework

Troubleshooting

Common Issues

  1. Rate limit errors: You're hitting the anonymous API limits. Wait an hour or implement authentication.
  2. No results: Try broader search terms or remove filters.
  3. Connection errors: Check your internet connection and firewall settings.

Debug Mode

Set the DEBUG environment variable:

DEBUG=mcp:* npx @mcp/openverse

FAQ

What is the Openverse MCP server?
Openverse 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 Openverse?
This profile displays 46 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

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

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Ratings

4.646 reviews
  • Ganesh Mohane· Dec 24, 2024

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

  • James Srinivasan· Dec 24, 2024

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

  • James Yang· Dec 8, 2024

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

  • Aarav Anderson· Nov 27, 2024

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

  • Yash Thakker· Nov 23, 2024

    Openverse is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Sakshi Patil· Nov 15, 2024

    Strong directory entry: Openverse surfaces stars and publisher context so we could sanity-check maintenance before adopting.

  • Charlotte Zhang· Nov 15, 2024

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

  • Chen Flores· Oct 18, 2024

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

  • Dhruvi Jain· Oct 14, 2024

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

  • Chaitanya Patil· Oct 6, 2024

    Useful MCP listing: Openverse is the kind of server we cite when onboarding engineers to host + tool permissions.

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