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Query Python codebase structure, callers, dependencies, and class hierarchies instantly.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "code-index" yet — see the docs or source repo.
Please find all callers of `parse_config` in this Python codebase and list them by file location.
A list of caller locations for `parse_config`.
Please query which modules, functions, and classes the main functions or classes in `auth.py` depend on.
A structured dependency result.
Before changing a function, a developer can inspect its callers and dependencies to estimate impact. This reduces blind searching and repeated code reading.
When joining an unfamiliar Python project, you can inspect class inheritance to quickly understand the object structure. It helps with codebase architecture review.
It provides structural, queryable understanding of a Python codebase through MCP tools. You can directly look up callers, dependencies, and class hierarchies without repeated grep or file-reading cycles.
According to the description, it supports queries for callers, dependencies, and class hierarchies. Other capabilities are not specified in the provided information; see the source repository.
Provides function-level code dependency graphs for callers and impact analysis.
Analyze local codebases to reveal structure, dependencies, summaries, and complexity hotspots.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Index codebases into Neo4j for analysis, dependency mapping, and impact assessment.
Search and navigate multiple code repositories with natural language understanding.
Index codebases so AI can fetch precise snippets instead of entire files.