The Semantic Layer for Software Development
Mepository maps every dependency across your microservices — so engineering teams ship 30% faster without breaking each other's code.
Trusted by 200+ engineering teams at:
Lines of Code Analyzed Daily
Faster Release Cycles
Fewer Production Incidents
Engineering Teams Trust Us
Just like dbt is the semantic layer for your data warehouse, Mepository is the semantic layer for your entire software system.
Cross-repo changes take 3 weeks to coordinate
AI-generated code breaks downstream services
Documentation is outdated before it’s merged
Mepository solves this with a unified dependency graph that spans frontend, backend, and database — updated in real-time.
How It Works
Connect GitHub, GitLab, or Bitbucket and Mepository instantly builds a complete dependency graph across frontend, backend, and database repos. See everything that’s connected — in minutes, not weeks.
Machine learning analyzes every code change and predicts impact across all services with 95%+ accuracy. Block PRs that would break production. Ship with confidence.
Table schemas, API contracts, and architecture docs update automatically every night. Your team always has a single source of truth — without writing a single line of markdown.
POST /api/v2/users — Added preferences fieldNew service: recommendation-engine → user-serviceSteps updated for new payment processor“Which endpoints touch user_email?” “What will break if I change this API?” Conversational search powered by RAG gives you answers across all repos in seconds.
Mepository integrates with Claude, Cursor, and GitHub Copilot via MCP — so AI tools see the full context before generating code. No more surprise breaking changes from AI suggestions.
user-service/validate.ts is used by 4 downstream services. Checking impact...From solo developers to 500-person engineering orgs
Automatically enforce compliance and security policies across every repo — without slowing teams down.
Auto-check GDPR, SOC2, HIPAA violations before code reaches production
Detect data exposure risks and unauthorized database access patterns
Full history of who changed what, when, and what impact it had
Development Platforms
AI Coding Tools
Project Management
Communication
Databases
Cloud Platforms
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