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Knowledge graph for token-efficient code reviews with fixed search and configurable embeddings
Knowledge graph for token-efficient code reviews with fixed search and configurable embeddings
The MCP server implements a code review graph tool with reasonable architecture and security baseline, but has several moderate-severity concerns. Input validation on file paths could be improved, credential handling relies on environment variables without explicit docs, and there are some code quality issues around error handling and logging. Permissions align appropriately with the stated purpose of code analysis and graph building. The server is usable but would benefit from hardening path traversal defenses and clarifying credential storage guarantees. Supply chain analysis found 1 known vulnerability in dependencies (1 critical, 0 high severity). Package verification found 1 issue.
3 files analyzed · 11 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: EMBEDDING_BACKEND
Environment variable: API_KEYS
Environment variable: LITELLM_PROXY_URL
Environment variable: LITELLM_PROXY_KEY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-n24q02m-better-code-review-graph": {
"env": {
"API_KEYS": "your-api-keys-here",
"EMBEDDING_BACKEND": "your-embedding-backend-here",
"LITELLM_PROXY_KEY": "your-litellm-proxy-key-here",
"LITELLM_PROXY_URL": "your-litellm-proxy-url-here"
},
"args": [
"better-code-review-graph"
],
"command": "uvx"
}
}
}From the project's GitHub README.
mcp-name: io.github.n24q02m/better-code-review-graph
Knowledge graph for token-efficient code reviews -- semantic search and call-graph resolution across your codebase.
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An MCP server that parses your codebase with Tree-sitter, builds a structural graph of functions/classes/imports, and gives Claude (or any MCP client) precise context so it reads only what matters instead of the whole tree. Semantic search runs on a local ONNX embedding model by default (zero config, no API key), with an optional cloud embedding chain. Fork of code-review-graph with fixed multi-word search, qualified call resolution, dual-mode embeddings, output pagination, and production CI/CD.
v2.0 adds temporal columns (valid_from_sha / valid_to_sha on every node + edge) and an opt-in security scanner. The schema migration is auto-applied on first GraphStore open, and a backup of the pre-2.0 DB is saved to <graph_db>.pre-2.0.bak so you can roll back. See BREAKING_CHANGES.md for the full schema-change list, behavior changes, environment requirements, and the downgrade procedure (CRG_DOWNGRADE_TO_1_X=1 uv run better-code-review-graph).
The server runs over stdio by default and works with any MCP client. The
recommended launcher is uvx (no install step --
it fetches and runs the published package in an isolated environment):
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph"],
"env": { "MCP_TRANSPORT": "stdio" }
}
}
}
Or install it as a Python package:
uvx better-code-review-graph # run without installing
pip install better-code-review-graph
The optional Semgrep engine for deeper security scans is a separate extra:
pip install 'better-code-review-graph[security]'
Install with an AI agent -- paste this to your AI coding agent:
Install MCP server
better-code-review-graphfollowing the steps at https://raw.githubusercontent.com/n24q02m/claude-plugins/main/plugins/better-code-review-graph/setup-with-agent.md
Full per-client setup (Claude Code, Codex, Gemini CLI, Cursor, Windsurf, raw
mcp.json) is at
mcp.n24q02m.com/servers/better-code-review-graph/setup/.
Everything works out of the box with zero configuration -- semantic search
uses a local qwen3-embed ONNX model
(Qwen3-Embedding-0.6B, ~570 MB downloaded on first graph embed). All
environment variables below are optional and only needed for cloud embeddings
or LLM summaries.
Embeddings and summaries are each driven by an ordered model chain -- a
CSV of provider/model entries where the order is the litellm fallback order
(first entry is the active model). The provider is inferred from the model
prefix, so the matching <PROVIDER>_API_KEY is all you need to add.
| Variable | Purpose | Empty (default) |
|---|---|---|
EMBEDDING_MODELS | Cloud embedding chain, e.g. jina_ai/jina-embeddings-v5-text-small,gemini/gemini-embedding-001 | Local ONNX (qwen3-embed) |
SUMMARY_MODELS | Summarizer chain for graph(action="summarize"), e.g. gemini/gemini-2.5-flash,openai/gpt-4o-mini | Summaries disabled |
All vectors are stored at a fixed 768 dimensions (MRL truncation), so the embeddings table schema stays valid across providers. Switching embedding model changes the vector space; embeddings are tracked per provider and a provider switch triggers re-embedding rather than mixing incomparable vectors.
Cloud models need the provider key for whatever prefixes appear in your chains. Without any cloud key the server stays on local ONNX. Summarizers must expose a chat-completion API (so Jina and Cohere are embedding-only).
| Model prefix | API key env var | Get a key |
|---|---|---|
jina_ai/ | JINA_AI_API_KEY | https://jina.ai/api-key |
gemini/ | GEMINI_API_KEY (or GOOGLE_API_KEY) | https://aistudio.google.com/apikey |
openai/ (or bare text-embedding-*) | OPENAI_API_KEY | https://platform.openai.com/api-keys |
cohere/ | COHERE_API_KEY | https://dashboard.cohere.com/api-keys |
Any other litellm provider works via
its standard <PROVIDER>_API_KEY.
| Variable | Purpose |
|---|---|
EMBEDDING_API_BASE | Custom OpenAI-compatible base URL for cloud embedding (SSRF-guarded) |
LLM_API_BASE | Custom OpenAI-compatible base URL for the summarizer (SSRF-guarded) |
DISABLE_LOCAL_EMBED | Skip the local ONNX download; embedding is unavailable unless a cloud chain is configured |
CRG_DATA_DIR | Override the per-user data directory (default ~/.crg) used for per-user graphs and credentials in HTTP multi-user mode |
EMBEDDING_BACKEND / EMBEDDING_MODEL / SUMMARY_MODEL | Deprecated singular vars, honored one release with a warning -- migrate to the *_MODELS chains |
{
"mcpServers": {
"better-code-review-graph": {
"command": "uvx",
"args": ["--python", "3.13", "better-code-review-graph"],
"env": {
"MCP_TRANSPORT": "stdio",
"EMBEDDING_MODELS": "jina_ai/jina-embeddings-v5-text-small,gemini/gemini-embedding-001",
"SUMMARY_MODELS": "gemini/gemini-2.5-flash",
"JINA_AI_API_KEY": "jina_...",
"GEMINI_API_KEY": "AIza..."
}
}
}
}
You can also configure cloud keys interactively in HTTP mode via the relay
setup form (config(action="setup_start") returns the browser URL). See the
modes overview and
multi-user setup.
Seven tools, each grouping related actions to keep the tool surface small.
graph -- Graph lifecycleActions: build | update | stats | embed | export | summarize
| Action | Description |
|---|---|
build | Full or incremental graph build. Set full_rebuild=true to re-parse all files; pass roots to federate extra repo directories into one graph. |
update | Alias for build with full_rebuild=false (incremental). |
stats | Graph size, languages, node/edge breakdown, embedding count. |
embed | Compute vector embeddings for semantic search. Dual-mode: local ONNX or cloud chain. |
export | Export the graph as graphml / json-ld / dot / cypher. Inline or to output_path. |
summarize | LLM-generated one-paragraph docstrings for Function nodes (via the SUMMARY_MODELS chain; no-op when no provider key is set). Cost-capped via max_nodes. |
query -- Graph queriesActions: query | search | impact | large_functions | spot_check | renamed_in_diff | diff
| Action | Description |
|---|---|
query | Predefined patterns: callers_of, callees_of, imports_of, importers_of, children_of, tests_for, inheritors_of, file_summary. |
search | Search code entities by name/keyword or semantic similarity. |
impact | Blast radius of changed files. Auto-detects from git diff. Paginated with max_results. |
large_functions | Find functions/classes exceeding a line-count threshold. |
spot_check | Random callsite snippets from the last callers_of/callees_of/inheritors_of/importers_of result. |
renamed_in_diff | Symbols whose callsite line shifted versus a base ref. |
diff | Nodes added/removed/modified between two commit SHAs (from_sha, to_sha). |
Most read actions accept as_of=<sha> for temporal (point-in-time) snapshots
and repo=<repo_id> to scope a federated multi-repo graph.
review -- Code review contextActions: context (default) | delta
Token-optimized review context with structural summary, impacted nodes, source
snippets, and review guidance. context auto-detects changed files from the
git diff; delta (with from_sha/to_sha, optional show_line_shifts)
surfaces refactor moves between two commits.
config -- Server configuration and credential setupActions: status | set | cache_clear | setup_status | setup_start | setup_skip | setup_reset | setup_complete
| Action | Description |
|---|---|
status | Server info: version, graph path, node/edge counts, embedding backend, embeddings count. |
set | Update a runtime setting (key=log_level). |
cache_clear | Remove all computed embeddings. |
setup_status | Show current credential state, providers configured, and setup URL. |
setup_start | Start relay setup to configure API keys via browser (HTTP mode). |
setup_skip | Set local mode (skip relay permanently, use ONNX only). |
setup_reset | Clear credentials and reset state. |
setup_complete | Re-resolve credentials from environment variables. |
security -- Security scanningActions: scan | report | suppress | rule_list
| Action | Description |
|---|---|
scan | Run a security scan (engine='heuristic' default = 5 regex rules, or 'semgrep'). Findings persist on nodes.security_tags. |
report | Re-emit cached findings as JSON (format='json') or SARIF v2.1.0 (format='sarif'). |
suppress | Suppress a finding by rule_id (or remove=true to un-suppress). |
rule_list | List available rules for an engine. |
The semgrep engine requires the [security] extra and runs Semgrep's
p/auto registry pack plus a 3-rule curated overlay.
help -- Full documentationTopics: graph | query | review | config | security | recipes
Returns complete documentation for each tool. Use when the compressed descriptions above are insufficient.
config__open_relay -- Re-trigger the relay setup formRegistered automatically from mcp-core.
In HTTP mode it returns <PUBLIC_URL>/authorize so the agent can re-open the
browser setup form (e.g. after credential expiry); in stdio mode it returns
status: 'stdio_unsupported'.
What this fork fixes versus the upstream code-review-graph:
| Feature | code-review-graph | better-code-review-graph |
|---|---|---|
| Multi-word search | Broken (literal substring) | AND-logic word splitting |
| callers_of/callees_of | Empty results (bare name targets) | Qualified name resolution + bare fallback |
| Embedding | sentence-transformers + torch (1.1 GB) | qwen3-embed ONNX + cloud (200 MB), dual-mode |
| Output size | Unbounded (500K+ chars) | Paginated (max_results, truncated flag) |
| Tool design | 9 individual tools | 7 grouped tools: graph + query + review + config + security + help + config__open_relay |
| Plugin hooks | Invalid PostEdit/PostGit | Valid PostToolUse |
How better-code-review-graph stacks up against direct competitors in each pillar:
| Capability | better-code-review-graph | Greptile | Sourcegraph (Cody / MCP) | CodeGraph (colbymchenry) |
|---|---|---|---|---|
| Codebase knowledge graph | Yes (Tree-sitter, 14 langs, SQLite) | Yes (functions/classes/deps) | Yes (precise code indexing) | Yes (Tree-sitter, 20+ langs, SQLite) |
| Persistent incremental updates | Yes (git-diff + file-hash re-parse) | ? | Yes (continuous indexing) | Yes (OS file-watcher debounced) |
| Qualified call resolution (callers/callees) | Yes (same-file bare-call resolution + fallback) | ? | Yes (go-to-def / find-references) | Yes (callers / callees / impact) |
| Semantic search / embeddings | Yes (qwen3 ONNX local + cloud Jina/Gemini/OpenAI/Cohere) | ? | Yes (semantic + keyword + regex) | No (FTS5 full-text only) |
| Token-optimized review context | Yes (review tool, git-diff scoped) | Yes (PR review comments) | No (code-context assistant) | No (context layer, not review) |
| Security scanning | Yes (Semgrep p/auto + 3-rule overlay, SARIF) | ? | ? | No |
| Self-hostable | Yes (stdio default, machine-bound) | Yes (Docker / K8s / air-gapped) | Yes (self-hosted instance) | Yes (100% local, no API keys) |
| Free / open source | Yes (MIT) | No (proprietary SaaS; free OSS tier) | No (Enterprise license, source private) | Yes (MIT) |
Sources: Greptile · Greptile pricing · Sourcegraph MCP · CodeGraph. Cells marked ? are capabilities the competitor does not publicly document, not confirmed absences.
:ro (read-only).EMBEDDING_API_BASE / LLM_API_BASE URLs are validated before any outbound call.To report a vulnerability, see SECURITY.md.
git clone https://github.com/n24q02m/better-code-review-graph
cd better-code-review-graph
uv sync --group dev
uv run pytest
uv run better-code-review-graph
Requirements: Python 3.13, uv.
This plugin implements TC-Local (machine-bound, single trust principal). See the mcp-core trust model for full classification.
| Mode | Graph DB | Cloud credentials | Who can read your data? |
|---|---|---|---|
| stdio (default) | <repo>/.code-review-graph/graph.db (git-ignored) | ~/.better-code-review-graph-mcp/config.json (AES-GCM, machine-bound key) | Only your OS user |
| HTTP self-host (multi-user) | Per-user ~/.crg/subs/<sub>/graph.db | Per-user ~/.crg/subs/<sub>/config.json | Only the authenticated user |
The v2.0 release added temporal columns (valid_from_sha / valid_to_sha
on every node and edge) plus an opt-in security scanner. The schema migration
is auto-applied on first GraphStore open, and a backup of the pre-2.0 DB is
written to <graph_db>.pre-2.0.bak. To downgrade and restore it:
CRG_DOWNGRADE_TO_1_X=1 uvx better-code-review-graph
Full schema-change list, behavior changes, and rollback procedure: BREAKING_CHANGES.md. Release-by-release history: CHANGELOG.md.
Full docs at mcp.n24q02m.com/servers/better-code-review-graph/setup/:
Use the help tool from any MCP client for inline per-tool reference.
MIT -- See LICENSE.
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