folder-index
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Alternatives to folder-index
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- AlicenseAqualityCmaintenanceEnables AI agents to search a local folder of Markdown, AsciiDoc, and text files through a SQLite FTS5 keyword index, returning the most relevant sections with file paths, line ranges, and heading breadcrumbs instead of grepping through a repo. It also exposes tools to list indexed documents and refresh the index incrementally, all offline with no dependencies, network calls, or embeddings.3MIT
- AlicenseNot gradedqualityBmaintenanceEnables agents to run full-text search inside Word, PowerPoint, Excel, PDF, and plain-text files by extracting their contents into a single local SQLite FTS5 index. Exposes tools to search documents with ranked highlighted snippets and human-readable locators, list indexed files, and incrementally build or refresh the index.MIT
- AlicenseNot gradedqualityBmaintenanceTurns a local folder of documents into a queryable index that an LLM agent can pull from on demand, keeping only a compact table of contents in context. Exposes five tools (index, search, read, grep, neighbours) over a single offline SQLite FTS5 store so the model retrieves exact, citable sections instead of being handed whole files.MIT
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to run incremental SQLite FTS5 full-text search over explicitly configured local workspace roots, covering Markdown, code, PDF, DOCX, XLSX, CSV and HTML with BM25 ranking, Chinese bigrams, and phrase, prefix, path, type and date filters. Exposes search, safe root-confined reads with line/page/sheet locations, recent-file listing, and reindexing as MCP tools so assistants can locate and quote source content without network or account access.MIT
- AlicenseAqualityBmaintenanceEnables local AI agents to perform hybrid search (BM25 + vector) over privately indexed local files, including notes, PDFs, DOCX, source code, and OCR'd images. All indexing and retrieval stay on the machine with read-only, whitelist-scoped access.3MIT
- AlicenseAqualityBmaintenanceEnables AI agents to index local codebases into isolated SQLite FTS5 databases and search them for ranked file paths, line ranges, and highlighted snippets, reducing context spent opening whole files.31MIT
TDQS
Scored across 8 tools
Most tools have distinct purposes, with search, listing, and reading being clearly separated. However, 'find_files' and 'search_files' share strong metadata filtering capabilities, which could lead to confusion for the agent.
The naming convention is functional but inconsistent. While several tools use clear verb_noun structures (e.g., find_files), others are functional nouns or compound verbs (e.g., index_status, ocr_speed). This mixing makes it less predictable for the agent.
With 9 tools, the server strikes an excellent balance. It covers the entire lifecycle of file indexing, search, and management without becoming overly complex or introducing trivial functions.
The tool surface provides solid coverage for the core functions of a file index, including metadata discovery, full-text search, OCR control, and duplicate detection. Minor gaps exist, such as explicit deletion functions, but the overall workflow is strongly supported.