When AI coding agents (Cursor, Claude Code, Windsurf) edit backend models or API routes in full-stack codebases, backend unit tests frequently pass while the frontend silently breaks in production:
backend/routes.py
.I built StackBridge-MCP, an open-source Model Context Protocol server that tracks cross-boundary contracts locally without running heavy test VMs.
fetch
, Axios, React Query) ↔ FastAPI routes ↔ SQLAlchemy ORM models without heavy LSP sidecars or runtime imports.Measured on fastapi-realworld-example-app
(44 files, 23 AST dependency nodes, 10 cross-boundary edges):
| Metric | Raw Codebase Dump | StackBridge Compact Slice | Improvement / Latency |
|---|---|---|---|
| Context Window Size | |||
19,705 tokens |
|||
51 tokens |
|||
| 📉 99.74% Token Reduction | |||
| Blast Radius Traversal | |||
Full-repo search: ~150 ms |
|||
SQLite Recursive CTE: 0.75 ms |
|||
| ⚡ 200x Faster Traversal | |||
| Compiler Verification | |||
Global linter: ~3,500 ms |
|||
Baseline-Diffed Engine: 312 ms |
|||
| 🛡️ Zero False Positives | |||
| Automated Tests | |||
| — | 56 / 56 passing | ✅ 100% Passing | |
Run via uvx
with zero local configuration:
bash
uvx stackbridge serve
Or install via pip:
Bash
pip install stackbridge
GitHub: https://github.com/ZainUlAbideen02/StackBridge-MCP
PyPI: https://pypi.org/project/stackbridge/0.1.0/
source & further reading
dev.to — original article
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