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Search local files intelligently with indexing, staging, and semantic hybrid retrieval.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Better Finder MCP" yet — see the docs or source repo.
Search my indexed project files for documents related to “permission system design,” prioritize the most semantically relevant results, and return file paths with reasons for each match.
A list of relevant design documents with paths, relevance notes, and brief content summaries.
Add documents created in the last week that are related to “user interviews” to the staging area, then list those files for later analysis.
A list of files added to the staging area, plus confirmation of how the filters were applied.
Run a keyword-plus-semantic hybrid search on indexed meeting notes to find files containing “launch risk” and related ideas like delays or dependency blockers.
The most relevant meeting-note files, highlighting matched keywords and semantically related passages.
Control terminal, search files, and edit diffs for local dev workflows.
Search files, inspect directories, and read text, PDF, and DOCX content.
Search files, content, and stats with natural language across codebases.
Scan folders, detect duplicates, rename files, and sort them into logical directories.
Search local documents to ground LLM answers in your files.
Turn local notes into a private searchable knowledge base for AI assistants.