$ loading_
Analyze local codebases to reveal structure, dependencies, summaries, and complexity hotspots.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "codecity-mcp" yet — see the docs or source repo.
Analyze this local codebase and give me a project structure overview, per-file summaries, and the entry files I should read first.
A summarized project structure, explanations of key files, and a suggested reading order.
List the module dependencies in this codebase, identify the core dependency nodes, and explain which files are most tightly coupled.
Key points from the dependency graph, relationships between important modules, and notes on high-coupling areas.
Analyze the complexity hotspots in this local project, identify the most complex files or modules, and summarize areas that may need refactoring.
A list of high-complexity files, a brief explanation of why they stand out, and likely refactoring targets.
When taking over an unfamiliar project, developers can use it to inspect code structure, file summaries, and dependencies to build context faster. It is useful for identifying core modules and entry points before reading the source in depth.
When preparing for refactoring or technical debt cleanup, teams can use it to identify complexity hotspots. This helps them locate higher-risk files or modules and prioritize follow-up improvements.
In MCP clients like Claude, it can expose structured information about a local codebase as tool capabilities. Users can then ask more specific questions about project structure, file responsibilities, and dependencies.
It analyzes a local codebase and provides information such as structure, per-file summaries, dependency graphs, and complexity hotspots to MCP clients. It is meant to help users understand a project more quickly.
The original description says it can be used by MCP clients like Claude. For more compatibility details, see the source repository.
The provided information clearly states that it analyzes a local codebase. For supported languages, installation, or runtime prerequisites, see the source repository.
Analyze codebases with semantic search, dependency insights, and natural language Q&A.
Index, search, analyze, and monitor codebases for faster understanding and troubleshooting.
Turn any LLM into a codebase expert with search, mapping, and security insights.
Gives AI coding agents a structural map of your repository fast.
Analyze codebases, generate project docs, and map knowledge for better AI context.
Search, analyze, navigate, and scan multilingual codebases without API keys.