CodeTruth MCP Server
A verification layer that lets AI agents safely delete code in large codebases by assessing usage paths and providing risk statuses.
README
CodeTruth
A verification layer that lets AI agents safely delete code in large codebases.
Agents hallucinate absence of usage. CodeTruth inverts the question — instead of "is this code used?" it asks "can we prove this code is used?" — and only surfaces a symbol for deletion when it fails to find any usage path: no call, no import, no inheritance, no string reference, no reflection target, no framework registration. Detection is deterministic; the agent only reads the evidence and decides. It is a risk assessor for code deletion, not a dead code detector.
Statuses
| Status | Meaning | Recommended action |
|---|---|---|
safe_to_delete |
zero usage paths found under every analysis rule, and the name verified absent from all repo text outside its own definition | delete |
likely_dead |
no usage found, but external exposure can't be ruled out (public API, module, test-only) | review_required |
uncertain_dynamic_risk |
weak evidence exists (string refs, reflection, dynamic module) | review_required |
definitely_used |
strong reference or framework entry point proven | keep |
Install
pip install -e . # from this repo
pip install -e .[mcp] # with the MCP server
MCP (the primary interface — for agents)
claude mcp add codetruth -- codetruth mcp
Tools exposed: scan(repo_path, ...) and check_deletion_safety(repo_path, symbol).
The agent workflow: identify symbol → call check_deletion_safety → only delete
on safe_to_delete; everything else routes to human review.
CLI
codetruth scan ./repo # review queue, strongest candidates first
codetruth scan ./repo -v --json out.json # full evidence
codetruth scan ./repo --app-mode # application (not library) repos:
# public symbols may be safe_to_delete
codetruth scan ./repo --strict # flag orphaned "useless clumps"
codetruth scan ./repo --min-rank 0.5 --group # trim the tail, group by file
codetruth scan ./repo --html report.html # self-contained HTML report
codetruth scan ./repo --ci # exit 1 if dead code exists (report gate)
codetruth check ./repo pkg.module:func # one symbol's evidence record
codetruth plan ./repo pkg.module:func # advisory deletion plan (never applied)
The --ci gate is advisory like everything else: it fails the build so a
human looks at provably-dead code — it never deletes. Mark false alarms with
# codetruth: keep or a .codetruth.toml entrypoint.
Python API
from codetruth import scan, check_deletion_safety
result = scan("./repo")
for rec in result.candidates():
print(rec.status.value, rec.symbol, rec.evidence_against_deletion)
Runtime evidence (v1.5)
Static analysis can't see cross-service usage (HTTP calls, queues, cron in
other repos). @codetruth.track logs real invocations in production:
import codetruth
@codetruth.track
def maybe_dead(): ...
Or instrument a whole package with zero source edits:
import codetruth.runtime
codetruth.runtime.instrument_package("myapp") # or CODETRUTH_AUTOTRACK=myapp
Then feed the trace back: codetruth scan ./repo --runtime-log runtime.jsonl.
Observed calls promote a symbol to definitely_used; "0 calls over N days"
becomes the strongest evidence tier for deletion.
Tracing is production-safe: each process writes its own runtime-<pid>.jsonl
(merged at read — no lock contention between workers), and a daemon thread
flushes counts every $CODETRUTH_FLUSH_INTERVAL seconds (default 60), so
long-running servers land evidence without a clean exit.
Finding useless clumps (strict reachability)
codetruth scan ./repo --strict asks a harder question: is this code
reachable from any real entry point (HTTP route, CLI command, __main__,
test, declared entrypoint)? Code that is internally well-connected — functions
calling each other — but never reached from an entry point surfaces as an
orphaned clump, with every member carrying a cluster field listing its
fellow members so the whole island can be reviewed (and deleted) as a group.
Dead-cluster grouping also applies in default mode whenever unreachable
symbols reference each other.
Configuration (.codetruth.toml)
Teach the scanner about usage it can't see:
[codetruth]
app_mode = true # public symbols are internal (application)
entrypoints = [ # externally-reached symbols (cron, RPC, ...)
"jobs.nightly:run",
"services.handlers.*",
]
ignore_paths = ["migrations/", "vendor/**"]
Inline: a # codetruth: keep comment on (or above) a definition marks it as
an entry point.
Deletion plans (advisory)
codetruth plan ./repo pkg.mod:symbol (also the plan_deletion MCP tool, and
attached automatically to every safe_to_delete record) describes exactly what
a removal would involve: the decorator-to-end source span, imports that become
orphaned, and any __all__ entry. CodeTruth never applies a plan — it is
information for whoever decides.
Review-queue ranking
Every record carries a rank_score in [0, 1] — a deterministic ordering
heuristic (not a calibrated probability; see PLAN.md §4). Higher means weaker
evidence of use, so scan() and the CLI surface the strongest deletion
targets first. Within uncertain_dynamic_risk it separates a lone
string-literal reference from forty fuzzy attribute-name matches, so a big
review queue is triageable instead of flat.
Performance
Scans are cached at <repo>/.codetruth/index.json, keyed by a fingerprint of
every source and config file's (mtime, size). An unchanged repo returns the
cached result (≈15× faster on an 8k-symbol repo); any file change triggers a
full rescan. The cache never patches the graph incrementally — a stale
cross-file edge could mask a real usage path, so correctness always wins.
Bypass with --no-cache (CLI) or force_rescan (MCP). Add .codetruth/ to
.gitignore.
Architecture
Layer 1 Symbol Extraction codetruth/languages/python/extractor.py
Layer 2 Relationship Graph codetruth/languages/python/edges.py (strong/weak edges)
Layer 3 Semantic Rules codetruth/languages/python/rules.py + codetruth/rules/python/*.yaml
Layer 4 Evidence + Decision codetruth/core/evidence.py (4-way status)
The core engine is language-agnostic (codetruth/core/, LanguagePlugin
interface). Python is the full v1 plugin (FastAPI, Django, Celery, click,
pytest, SQLAlchemy, Typer rule coverage). JavaScript/TypeScript is a beta
plugin (pip install codetruth[javascript], then scan --language javascript):
tree-sitter extraction, ESM/CommonJS import resolution, package.json
entry points, string/config wiring, eval poisoning, and external-base cautions
— with the shared evidence, ranking, cluster, backstop, and cache layers
working unchanged. Go remains a stub.
Known limitations
- Cross-service usage is invisible to static analysis alone — runtime tracing is the partial fix.
- 100% certainty is impossible;
safe_to_deletemeans "no usage path found under the defined rules," not a mathematical proof. - Framework rule coverage (Layer 3) is a maintained knowledge base, never
finished. New rules go in
codetruth/rules/python/*.yaml— no code changes.
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