explore-codebase
FeaturedNavigate and understand codebase structure using the knowledge graph
AI & Automation 31,800 stars
2907 forks Updated 1 weeks ago MIT
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## Explore Codebase
Use the code-review-graph MCP tools to find your way around the codebase.
### Steps
1. Call `get_architecture_overview_tool` for the community structure. Call `list_communities_tool`, then `get_community_tool`, only for the modules you need.
2. Call `semantic_search_nodes_tool` to find a function or class by name or keyword.
3. Call `query_graph_tool` with `callers_of`, `callees_of` or `imports_of` to trace relationships. `children_of` on a file lists its functions and classes.
4. Call `list_flows_tool`, then `get_flow_tool` for one flow, to follow an execution path.
5. Call `find_large_functions_tool` to find oversized functions.
6. Call `list_graph_stats_tool` only when you need node, edge and language counts.
## Token Efficiency Rules
- Call `get_minimal_context_tool(task="<your task>")` before any other graph tool.
- Pass `detail_level="minimal"` wherever a tool accepts it. Use "standard" only when minimal is not enough.
- Prefer a targeted `query_graph_tool` call over a broad listing call.
- Budget: about five tool calls and 800 tokens of graph output per task.
- Read the implementation and its tests before changing code. The graph narrows scope; it does not replace the source.
Details
- Author
- tirth8205
- Repository
- tirth8205/code-review-graph
- Created
- 7 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
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