FileScopeMCP
UnclaimedAnalyzes your codebase identifying important files based on dependency relationships. Generates diagrams and importance scores per file, helping AI assistants understand the codebase. Automatically parses popular programming languages such as Python, C, C++, Rust, Zig, Lua.
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detect_cycles
Find circular dependency chains
exclude_and_remove
Drop files/patterns from tracking (destructive)
find_callees
Find all symbols that a named symbol calls (TS/JS call graph)
find_callers
Find all symbols that call a named symbol (TS/JS call graph)
find_important_files
Top files by importance score with dependency counts
find_symbol
Resolve a symbol name to file + line range; supports prefix match via trailing
get_communities
Louvain-clustered file groups by import coupling
get_cycles_for_file
Cycles involving a specific file
get_file_summary
Everything about a file: summary, concepts, change impact, exports, deps, staleness
list_changed_since
Files changed since a timestamp or git SHA
list_files
Full file tree (no args) or flat top-N by importance (with maxItems)
scan_all
Queue files for LLM summarization via the broker
search
Search file metadata across symbols, summaries, purpose, and paths
set_base_directory
Point at a different project
set_file_importance
Manually set a file's importance score (0-10)
set_file_summary
Manually set or override a file's LLM summary
status
Broker connection, queue depth, LLM progress, watcher state