io.github.n24q02m/better-code-review-graph
Token-efficient code review knowledge graph: semantic search and call-graph resolution.
The current version, v3.26.10, was published to the official MCP registry on 2026-09-14. It is distributed as better-code-review-graph on PyPI, filed under Search by this index, and declares 14 environment variables. Removals and unreachable sources are measured across every server this index tracks, contract drift across the servers that answer in consecutive snapshots; the index's current counts put this record in context.
Using io.github.n24q02m/better-code-review-graph in Claude, Cursor, Gemini CLI, Cline, or Zed?
MCP tool contracts can change remotely with no version bump. The mcpindex gate pins each contract and HOLDs the call when it drifts-before your agent acts. Zero credentials. This is not the package install for this server itself (use Install this server for that).
Rewrites your MCP host config so each server launches behind the gate. Inspect first: curl -fsSL https://mcpindex.ai/install.sh | less
uv tool install mcpindex-gate && mcpindex-config-wireSemantic screen found no manipulation pattern in the description. Conformance probe not yet run.
mcpindex.integrity.descriptionpassINFOevidence“No hidden actions”via static_description
- - Semantic screen only - the deterministic conformance probe has not run on this server
- - Confidence is reported but not yet calibrated (v1)
- - Screen reads the tool description, not the live behavior
- - advisory
- - registry description only no input schema
- - Still current: the description we screened is unchanged, re-checked against the registry
- - The registry listing (version, packages, links) changed after this screen ran - the description we assessed did not
Semantic screen: an LLM judge reads the tool description for hidden instructions (status PARTIAL). A pass means the description is not lying, not that the tool is safe: a high-capability tool with an honest description still warrants caution. The deterministic conformance probe has not been run on this server yet, so the screen here is semantic-only. Posture: advisory. Confidences are reported but not yet calibrated (calibrated=false at v1). Full verdict history is not shown on this page.
Own this server? Screen its description →
That verdict was true at screening time (snapshot 2026-09-15).
Contracts can change after screening, with no version bump. The gate pins io.github.n24q02m/better-code-review-graph’s tool contracts on first sight and holds any silent change before your agent acts - the check that keeps being true on Tuesday.
See your first HOLD in 2 minutes →
Related: how to trust an MCP server · screen before install · silent contract drift
People vet a server before wiring it in. One line on your project site or docs answers that with an independent record: screening verdict, registry provenance, contract drift history. It stays current as new screens and drift events land.
[Independent trust record for io.github.n24q02m/better-code-review-graph](https://mcpindex.ai/server/io-github-n24q02m-better-code-review-graph) - screening verdict, registry provenance, and contract drift monitoring.<a href="https://mcpindex.ai/server/io-github-n24q02m-better-code-review-graph">Independent trust record for io.github.n24q02m/better-code-review-graph</a> - screening verdict, registry provenance, and contract drift monitoring.A live verdict badge for your README or listing. It reflects the current screen, links back here, and updates when the verdict does.
[](https://mcpindex.ai/server/io-github-n24q02m-better-code-review-graph)<a href="https://mcpindex.ai/server/io-github-n24q02m-better-code-review-graph"><img src="https://mcpindex.ai/api/v1/badge/io-github-n24q02m-better-code-review-graph" alt="mcpindex verdict" height="20" /></a>EMBEDDING_MODELSEmbedding models in selection order; the current runtime uses the first provider/model entry; empty = local ONNX
LOCAL_EMBEDDING_MODELBuilt-in fastretrieval model ID or local directory with fastretrieval-manifest.json
LOCAL_RERANK_MODELFastretrieval TextCrossEncoder model ID; empty = reranking disabled
LOCAL_EMBEDDING_DIMRequired positive output dimension for an external local embedding ID without a manifest
LOCAL_EMBEDDING_MODEL_FILEONNX file path inside a manifest-backed local embedding directory
LOCAL_EMBEDDING_POOLINGExplicit pooling for an external local embedding ID without a manifest
LOCAL_EMBEDDING_NORMALIZEExplicit L2 normalization for an external local embedding ID without a manifest
SUMMARY_MODELSSummarizer model selection; first provider/model entry only, no fallback; empty = disabled
COHERE_API_KEYCredential for explicitly selected Cohere embeddings, including a configured CF AI Gateway route
OPENROUTER_API_KEYCredential for explicitly selected OpenRouter completion models
EMBEDDING_BACKENDDEPRECATED (honored one release): embedding backend override 'local' or 'cloud'. Use EMBEDDING_MODELS instead.
EMBEDDING_API_BASEProvider-compatible cloud embedding endpoint, including CF AI Gateway; SSRF-guarded.
LLM_API_BASEProvider-compatible summarizer base URL, including CF AI Gateway; SSRF-guarded.
SUMMARY_MODELDEPRECATED (honored one release): single summarizer model as a litellm 'provider/model' string. Use SUMMARY_MODELS instead.
Every EmpirioLabs model and platform feature as tools: chat, media, search, jobs, GPU Cloud, agents.
Trend, stats & insight search across PSFK expert graphs with citable sources.
Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.