adk-python vs mcp — Trust Score Comparison
Side-by-side trust comparison of adk-python and mcp. Scores based on security, compliance, maintenance, popularity, and ecosystem signals.
Detailed Metric Comparison
| Metric | adk-python | mcp |
|---|---|---|
| Trust Score | 0.0/100 | 65.8/100 |
| Grade | B | B |
| Stars | 18,204 | 679 |
| Category | devops | devops |
| Security | 1 | 0 |
| Compliance | 87 | 100 |
| Maintenance | 1 | 1 |
| Documentation | 1 | 0 |
| EU AI Act Risk | N/A | minimal |
| Verified | No | No |
Verdict
mcp leads with a trust score of 65.8/100 compared to adk-python's 0.0/100 (a 65.8-point difference). mcp scores higher on compliance (100 vs 87). However, adk-python has stronger community adoption (18,204 vs 679 stars). Both agents should be evaluated based on your specific requirements.
Detailed Analysis
Security
adk-python leads on security with a score of 1/100 compared to mcp's 0/100. This score reflects dependency vulnerability analysis, known CVE exposure, and security best practices. A higher security score means fewer known vulnerabilities and better security hygiene in the codebase.
Maintenance & Activity
adk-python demonstrates stronger maintenance activity (1/100 vs 1/100). This metric captures commit frequency, issue response times, and release cadence. Actively maintained tools receive faster security patches and are less likely to accumulate technical debt.
Documentation
adk-python has better documentation (1/100 vs 0/100). Good documentation reduces onboarding time and helps teams adopt the tool safely. This score evaluates README completeness, API documentation, code examples, and tutorial availability.
Community & Adoption
adk-python has 18,204 GitHub stars while mcp has 679. adk-python has significantly broader community adoption, which typically means more Stack Overflow answers, more third-party tutorials, and faster ecosystem development.
When to Choose Each Tool
Choose adk-python if you need:
- Stronger security profile with fewer known vulnerabilities
- Larger community (18,204 vs 679 stars)
- Better documentation for faster onboarding
Choose mcp if you need:
- Higher overall trust score — more reliable for production use
Switching from adk-python to mcp (or vice versa)
When migrating between adk-python and mcp, consider these factors:
- API Compatibility: adk-python (devops) and mcp (devops) share similar interfaces since they are in the same category.
- Security Review: Run a security audit after migration. Check the adk-python safety report and mcp safety report for known issues.
- Testing: Ensure your test suite covers all integration points before switching in production.
- Community Support: adk-python has 18,204 stars and mcp has 679. Larger communities typically mean better Stack Overflow answers and migration guides.
Related Pages
Frequently Asked Questions
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Last updated: 2026-11-02 | Data refreshed weekly
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.