LensPR
MCP server that builds a dependency graph of your codebase, giving AI agents structural understanding to analyze impact, find context, and make safe modifications across languages and infrastructure.
README
<p align="center"> <img src="assets/LensPR.png" alt="LensPR" width="200"> </p>
<p align="center"><strong>Code intelligence for AI coding agents. Your AI sees dependencies before making changes.</strong></p>
Alpha (0.1.x) — works on real projects, used daily by the author. Expect rough edges.
AI assistants edit your code one file at a time. They don't see dependencies. They grep, read, guess — and break things three files away.
LensPR builds a dependency graph of your codebase and gives your AI structural understanding before it changes anything.
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Quick Start
Requires Python 3.11+, macOS or Linux. For TypeScript/JS projects, also Node.js 18+.
pip install 'lenspr[all]'
lenspr init .
lenspr setup .
Restart your IDE. Done. Your AI now has lens_* tools.
Add
.lens/to your.gitignore— the graph is local and rebuilt from source.
What It Does
"What depends on this function?"
One call returns source code, who calls it, what it calls, and related tests:
> lens_context("auth.login_handler")
source: 42 lines
callers: auth_routes.create_routes, test_auth.test_login_success
callees: db.get_user, crypto.verify_password, jwt.create_token
tests: test_login_success, test_login_wrong_password
Without LensPR your AI makes 5-7 grep/read calls and still misses things. With LensPR — one call, full picture.
"What breaks if I change this?"
Before any modification, the AI sees the blast radius:
> lens_check_impact("models.User")
severity: CRITICAL
direct_dependents: 15
indirect_dependents: 23
affected_modules: auth, payments, notifications
tests_covering: 3
The AI warns you, changes its approach, or asks for confirmation. No more blind edits.
"How healthy is this codebase?"
> lens_vibecheck()
score: 86/100 (B)
test_coverage: 17/25 — 67% functions tested
dead_code: 20/20 — 0% dead code
circular_imports: 15/15 — 0 cycles
architecture: 12/15 — 1 violation
documentation: 8/10 — 81% documented
graph_confidence: 14/15 — 94% edges resolved
Track whether the codebase is improving or degrading over time.
Cross-language visibility
LensPR connects frontend and backend into a single graph:
LoginModal.tsx → fetch("/api/auth/login")
↓ CALLS_API
Backend: @router.post("/login") → login_handler()
→ db.query(User) [reads: users]
→ verify_password()
→ create_jwt_token()
Also tracks: database tables, Docker services, env vars, CI/CD workflows, SQL migrations.
Works With
| IDE | Setup |
|---|---|
| Claude Code | lenspr setup . — automatic |
| Cursor | Copy .mcp.json to .cursor/mcp.json |
| Any MCP client | lenspr serve <path> |
Languages: Python (95%+ resolution via Jedi/Pyright) and TypeScript/JavaScript (85-95% via tree-sitter + TS Compiler API).
Infrastructure: .sql files, Dockerfiles, docker-compose.yml, GitHub Actions workflows, .env files — all parsed into the same graph.
Everything runs locally. Your code never leaves your machine.
Key Features
| Impact Analysis | Severity (LOW → CRITICAL) before any change |
| One-Call Context | Source + callers + callees + tests in one request |
| Cross-Language | Frontend HTTP → backend routes, DB tables, Docker, env vars, CI/CD |
| Surgical Edits | Targeted find/replace within a function — no full file rewrites |
| Dead Code | Find unreachable functions (Django, FastAPI, Celery entry points) |
| Architecture Rules | Enforce layer boundaries — violations warn before changes apply |
| Git per Function | Blame, history, commit scope at function level |
| Session Memory | AI picks up where it left off across context resets |
| Auto-Sync | File watcher updates graph on every save |
| Health Score | 0-100 score across 6 dimensions — track quality over time |
60+ tools organized in 12 groups — enable only what you need with lenspr tools.
<details> <summary>All tools by category</summary>
Navigation & Search (8): lens_context, lens_get_node, lens_search, lens_grep, lens_find_usages, lens_get_structure, lens_list_nodes, lens_get_connections
Modification (6): lens_update_node, lens_patch_node, lens_add_node, lens_delete_node, lens_rename, lens_batch
Analysis (6): lens_check_impact, lens_validate_change, lens_health, lens_dead_code, lens_dependencies, lens_diff
Quality (7): lens_vibecheck, lens_nfr_check, lens_test_coverage, lens_security_scan, lens_dep_audit, lens_fix_plan, lens_generate_test_skeleton
Architecture (9): lens_arch_rule_add, lens_arch_rule_list, lens_arch_rule_delete, lens_arch_check, lens_class_metrics, lens_project_metrics, lens_largest_classes, lens_compare_classes, lens_components
Git (4): lens_blame, lens_node_history, lens_commit_scope, lens_recent_changes
Infrastructure (5): lens_api_map, lens_db_map, lens_env_map, lens_ffi_map, lens_infra_map
Testing & Tracing (3): lens_run_tests, lens_trace, lens_trace_stats
Annotations (5): lens_annotate, lens_save_annotation, lens_batch_save_annotations, lens_annotate_batch, lens_annotation_stats
Session (4): lens_session_write, lens_session_read, lens_session_handoff, lens_resume
Temporal (2): lens_hotspots, lens_node_timeline
Explanation (1): lens_explain
</details>
Known Limitations
- Windows — not supported. macOS and Linux only.
self.method()calls — static parser can't fully resolve instance method dispatch. Workaround:lens_trace(Python 3.12+) resolves these at runtime.- Go, Rust, Java — not yet supported. Parser interface is ready for contributors.
- Dynamic code —
getattr,eval, dynamic imports can't be tracked statically.
Contributing
Try it. If it breaks, tell me.
- Bug reports — even "this doesn't work" is helpful
- Language parsers — Go, Rust, Java (BaseParser interface is ready)
- Ideas — open an issue
License
MIT
Built because AI kept breaking my code.
<!-- mcp-name: io.github.kyrylopr/lenspr -->
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