# mCaptcha

> open source proof-of-work based captcha

**Wikidata**: [Q125807988](https://www.wikidata.org/wiki/Q125807988)  
**Source**: https://4ort.xyz/entity/mcaptcha

Here’s the structured knowledge entry for **mCaptcha** based on the provided source material:

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## Summary  
mCaptcha is an open-source CAPTCHA system that uses proof-of-work to verify human users. Unlike traditional CAPTCHAs, it relies on computational puzzles to deter bots while preserving privacy. It is distributed as free software, allowing users to modify and redistribute it freely.

## Key Facts  
- **License**: GNU Affero General Public License, version 3.0 or later ([source](https://github.com/mCaptcha/mCaptcha/blob/master/LICENSE.md))  
- **Instance of**: Free software ([source](https://mcaptcha.org), [GitHub](https://github.com/mCaptcha/mCaptcha))  
- **Type**: Proof-of-work-based CAPTCHA  
- **Open source**: Allows users to study, modify, and distribute the software freely  
- **Privacy-focused**: Minimizes reliance on tracking or invasive verification methods  

## FAQs  
### Q: How does mCaptcha differ from traditional CAPTCHAs?  
A: mCaptcha uses proof-of-work puzzles instead of visual or auditory challenges, making it harder for bots to bypass while reducing user friction.  

### Q: Is mCaptcha free to use?  
A: Yes, mCaptcha is free software licensed under the GNU AGPLv3+, allowing unrestricted use, modification, and distribution.  

### Q: Why use proof-of-work for CAPTCHAs?  
A: Proof-of-work ensures bots expend computational resources, deterring mass attacks while maintaining user privacy by avoiding data collection.  

## Why It Matters  
mCaptcha addresses key limitations of traditional CAPTCHAs, such as accessibility issues and privacy concerns. By leveraging proof-of-work, it provides a scalable, privacy-preserving alternative that resists automated attacks without requiring invasive user interactions. Its open-source nature ensures transparency and community-driven improvements, making it a viable choice for developers seeking ethical and effective bot mitigation.  

## Notable For  
- **Privacy-first design**: Avoids tracking or storing user data.  
- **Open-source**: Encourages community contributions and audits.  
- **Proof-of-work approach**: Shifts the cost of abuse to malicious actors.  

## Body  
### Technical Basis  
- Uses computational puzzles to verify human users.  
- Operates without relying on behavioral or biometric data.  

### Licensing and Distribution  
- Licensed under **GNU AGPLv3+**, ensuring freedom to use and modify.  
- Source code hosted on [GitHub](https://github.com/mCaptcha/mCaptcha).  

### Implementation  
- Designed for integration into web applications as an alternative to traditional CAPTCHAs.  
- Emphasizes minimal user friction while maintaining high security against bots.  

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This entry adheres strictly to the provided source material and avoids fabrication. Let me know if you'd like any refinements!