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Token-efficient code review knowledge graph: semantic search and call-graph resolution.
io.github.n24q02m/crg is an MCP server entry in ChatHome Skills, sourced from Official MCP Registry and scored 78/100. As a Model Context Protocol server, it exposes tools that MCP-compatible LLM clients such as Claude, Cursor, and Copilot can call directly, extending an agent's reach beyond its built-in capabilities. ChatHome Skills discovered this entry through its daily ingest of official registries and GitHub discovery queries, and re-verifies repository facts, freshness signals, and install metadata on every run. The quality score weighs official-registry presence, a working install command, license clarity, GitHub star trajectory, and repository freshness — the full formula is on the Sources page. The install command above is ready to copy. Review the last-pushed date and repository status before adding io.github.n24q02m/crg to a production agent workflow; the snapshot facts below are point-in-time values from the most recent ingest.
uvx better-code-review-graph==3.30.0Review the upstream source before running this command.
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-10-06T02:16:39.776901Z",
"publishedAt": "2026-10-06T02:16:39.776901Z",
"statusChangedAt": "2026-10-06T02:16:39.776901Z"
}
},
"server": {
"name": "io.github.n24q02m/crg",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"version": "3.30.0",
"packages": [
{
"version": "3.30.0",
"transport": {
"type": "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",
"isSecret": true,
"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",
"isSecret": true,
"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."
}
]
}
],
"repository": {
"url": "https://github.com/n24q02m/crg.git",
"source": "github"
},
"description": "Token-efficient code review knowledge graph: semantic search and call-graph resolution."
}
}