Better Code Review Graph MCP
An MCP server providing a knowledge graph for token-efficient code reviews. It enables semantic search and call-graph resolution across a codebase, allowing AI agents to understand code structure and context more effectively during review processes.
Package and access
Local package with source-attributed installation metadata. Koskamo does not execute packages during review.
Checks and signals
Each line is separate evidence, not a trust score.
- Popularity 76 GitHub stars
What you can do with it
- Perform semantic search across codebase files
- Resolve call graphs for function dependencies
- Analyze code structure for token-efficient reviews
Source and maintenance
- Last repository push
- Latest release
- v3.31.0
- Maintenance checked
Packages and installation
Source-provided package data. Koskamo has not executed or live-probed this package.
better-code-review-graph 3.31.0
{
"version": "3.31.0",
"transport": "stdio",
"identifier": "better-code-review-graph",
"runtimeHint": "uvx",
"registryType": "pypi",
"environmentVariables": [
{
"name": "EMBEDDING_MODELS",
"description": "Embedding models in selection order; the current runtime uses the first provider/model entry; empty = local ONNX"
},
{
"name": "LOCAL_EMBEDDING_MODEL",
"description": "Built-in fastretrieval model ID or local directory with fastretrieval-manifest.json"
},
{
"name": "LOCAL_RERANK_MODEL",
"description": "Fastretrieval TextCrossEncoder model ID; empty = reranking disabled"
},
{
"name": "LOCAL_EMBEDDING_DIM",
"description": "Required positive output dimension for an external local embedding ID without a manifest"
},
{
"name": "LOCAL_EMBEDDING_MODEL_FILE",
"description": "ONNX file path inside a manifest-backed local embedding directory"
},
{
"name": "LOCAL_EMBEDDING_POOLING",
"description": "Explicit pooling for an external local embedding ID without a manifest"
},
{
"name": "LOCAL_EMBEDDING_NORMALIZE",
"description": "Explicit L2 normalization for an external local embedding ID without a manifest"
},
{
"name": "HULL_EMBED_API_KEY",
"description": "API key for the [models.embed] cell transport (OpenRouter pre-wired default); host-injected, overrides the cell api_key"
},
{
"name": "HULL_CHAT_API_KEY",
"description": "API key for the [models.chat] cell transport (OpenRouter pre-wired default); host-injected, enables LLM summaries when the cell model is set"
},
{
"name": "EMBEDDING_BACKEND",
"description": "DEPRECATED (honored one release): embedding backend override 'local' or 'cloud'. Use EMBEDDING_MODELS instead."
}
]
}Tools
Reported by the attributed source; not independently observed by Koskamo.
Maintenance history
Public check and source-refresh events. Editorial and ownership records remain private.
- · repository · passed · metadata changed · updated
- · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown
Connect from your client
Each snippet configures the same source-provided package; replace placeholders before use.
Cursor
{
"mcpServers": {
"better-code-review-graph-mcp": {
"command": "uvx",
"args": [
"better-code-review-graph==3.31.0"
],
"env": {
"EMBEDDING_MODELS": "<YOUR_EMBEDDING_MODELS>",
"LOCAL_EMBEDDING_MODEL": "<YOUR_LOCAL_EMBEDDING_MODEL>",
"LOCAL_RERANK_MODEL": "<YOUR_LOCAL_RERANK_MODEL>",
"LOCAL_EMBEDDING_DIM": "<YOUR_LOCAL_EMBEDDING_DIM>",
"LOCAL_EMBEDDING_MODEL_FILE": "<YOUR_LOCAL_EMBEDDING_MODEL_FILE>",
"LOCAL_EMBEDDING_POOLING": "<YOUR_LOCAL_EMBEDDING_POOLING>",
"LOCAL_EMBEDDING_NORMALIZE": "<YOUR_LOCAL_EMBEDDING_NORMALIZE>",
"HULL_EMBED_API_KEY": "<YOUR_HULL_EMBED_API_KEY>",
"HULL_CHAT_API_KEY": "<YOUR_HULL_CHAT_API_KEY>",
"EMBEDDING_BACKEND": "<YOUR_EMBEDDING_BACKEND>"
}
}
}
}Cline
{
"mcpServers": {
"better-code-review-graph-mcp": {
"command": "uvx",
"args": [
"better-code-review-graph==3.31.0"
],
"env": {
"EMBEDDING_MODELS": "<YOUR_EMBEDDING_MODELS>",
"LOCAL_EMBEDDING_MODEL": "<YOUR_LOCAL_EMBEDDING_MODEL>",
"LOCAL_RERANK_MODEL": "<YOUR_LOCAL_RERANK_MODEL>",
"LOCAL_EMBEDDING_DIM": "<YOUR_LOCAL_EMBEDDING_DIM>",
"LOCAL_EMBEDDING_MODEL_FILE": "<YOUR_LOCAL_EMBEDDING_MODEL_FILE>",
"LOCAL_EMBEDDING_POOLING": "<YOUR_LOCAL_EMBEDDING_POOLING>",
"LOCAL_EMBEDDING_NORMALIZE": "<YOUR_LOCAL_EMBEDDING_NORMALIZE>",
"HULL_EMBED_API_KEY": "<YOUR_HULL_EMBED_API_KEY>",
"HULL_CHAT_API_KEY": "<YOUR_HULL_CHAT_API_KEY>",
"EMBEDDING_BACKEND": "<YOUR_EMBEDDING_BACKEND>"
}
}
}
}VS Code
{
"servers": {
"better-code-review-graph-mcp": {
"type": "stdio",
"command": "uvx",
"args": [
"better-code-review-graph==3.31.0"
],
"env": {
"EMBEDDING_MODELS": "<YOUR_EMBEDDING_MODELS>",
"LOCAL_EMBEDDING_MODEL": "<YOUR_LOCAL_EMBEDDING_MODEL>",
"LOCAL_RERANK_MODEL": "<YOUR_LOCAL_RERANK_MODEL>",
"LOCAL_EMBEDDING_DIM": "<YOUR_LOCAL_EMBEDDING_DIM>",
"LOCAL_EMBEDDING_MODEL_FILE": "<YOUR_LOCAL_EMBEDDING_MODEL_FILE>",
"LOCAL_EMBEDDING_POOLING": "<YOUR_LOCAL_EMBEDDING_POOLING>",
"LOCAL_EMBEDDING_NORMALIZE": "<YOUR_LOCAL_EMBEDDING_NORMALIZE>",
"HULL_EMBED_API_KEY": "<YOUR_HULL_EMBED_API_KEY>",
"HULL_CHAT_API_KEY": "<YOUR_HULL_CHAT_API_KEY>",
"EMBEDDING_BACKEND": "<YOUR_EMBEDDING_BACKEND>"
}
}
}
}Claude Desktop
{
"mcpServers": {
"better-code-review-graph-mcp": {
"command": "uvx",
"args": [
"better-code-review-graph==3.31.0"
],
"env": {
"EMBEDDING_MODELS": "<YOUR_EMBEDDING_MODELS>",
"LOCAL_EMBEDDING_MODEL": "<YOUR_LOCAL_EMBEDDING_MODEL>",
"LOCAL_RERANK_MODEL": "<YOUR_LOCAL_RERANK_MODEL>",
"LOCAL_EMBEDDING_DIM": "<YOUR_LOCAL_EMBEDDING_DIM>",
"LOCAL_EMBEDDING_MODEL_FILE": "<YOUR_LOCAL_EMBEDDING_MODEL_FILE>",
"LOCAL_EMBEDDING_POOLING": "<YOUR_LOCAL_EMBEDDING_POOLING>",
"LOCAL_EMBEDDING_NORMALIZE": "<YOUR_LOCAL_EMBEDDING_NORMALIZE>",
"HULL_EMBED_API_KEY": "<YOUR_HULL_EMBED_API_KEY>",
"HULL_CHAT_API_KEY": "<YOUR_HULL_CHAT_API_KEY>",
"EMBEDDING_BACKEND": "<YOUR_EMBEDDING_BACKEND>"
}
}
}
}Let your agent find its tools
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