Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"lyra-intel": {
"url": "https://modelcontextprotocol.name/mcp/lyra-intel",
"type": "http"
}
}
}Are you the author?
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Complete Intelligence Infrastructure Engine for Massive-Scale Codebase Analysis
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'lyra-intel-mcp' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
Checked lyra-intel-mcp against OSV.dev.
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Complete Intelligence Infrastructure Engine for Massive-Scale Codebase Analysis
📚 Full Documentation | Quick Start | Use Cases | API Reference
Analyze codebases 10-100x faster with AI-powered insights, security scanning, and semantic search.
Lyra Intel is actively being enhanced with improvements daily. The core platform is production-ready and being used in enterprise deployments. Thank you for your contributions! 🙌
Most code analysis tools force a choice: automation at the cost of understanding, or manual inspection with no scale.
Lyra Intel is built on a different principle: Give developers and security teams the intelligence they need to make informed decisions at scale.
You get:
Perfect for teams that want to own their code intelligence.
Lyra Intel is a comprehensive, production-ready intelligence platform designed to understand, secure, and improve codebases of any size - from small projects to enterprise monorepos with millions of lines of code.
Unlike traditional linters or SonarQube-style tools, Lyra Intel combines:
For Security Teams:
For Development Teams:
For Engineering Leaders:
With 70+ specialized components, Lyra Intel enables:
| Goal | What Lyra Intel Does | Time Saved |
|---|---|---|
| Secure a legacy codebase | Scan for vulnerabilities, create remediation plan | Weeks → Hours |
| Onboard new developers | Build searchable knowledge base, find examples | Days → Hours |
| Plan a framework upgrade | Analyze impact, generate step-by-step migration plan | Months → Days |
| Understand technical debt | Quantify debt, track trends, prioritize fixes | Ongoing → Automated |
| Review pull requests | AI-powered insights + security checks + complexity analysis | 30 min → 5 min |
| **Find secur |