file-analysis-mcp
Related Servers
Alternatives to file-analysis-mcp
No user-submitted related servers found.
Related Servers
- FlicenseAqualityCmaintenanceEnables read-only analysis of local unstructured documents by scanning a folder, extracting text and structural metadata, and passing content with truncation and error-awareness to an LLM for summarization.91-
- FlicenseAqualityCmaintenanceEnables AI agents to read and extract text, tables, and image content from files (PDF, DOCX, PPTX, SVG, PNG) within a folder, providing structured data for interpretation by the calling model.7-
- AlicenseAqualityCmaintenanceProvides LLMs with secure, read-only access to local documentation by scanning directories, extracting content from PDF, DOCX, Markdown, and text files, and performing keyword searches.35 npmMIT
- FlicenseNot gradedqualityCmaintenanceEnables local, read-only extraction of text and structure from PDF, DOCX, PPTX, SVG, and PNG files, including OCR for images, directory tree and metadata reporting, with strict path isolation and audit logging.-
- FlicenseNot gradedqualityCmaintenanceEnables local folder analysis of unstructured documents (PDF, DOCX, PPTX, TXT, SVG, PNG, CSV, XLSX) by extracting structure, reading content, and generating reports, with a strict approval gate before any save operation.-
- FlicenseNot gradedqualityCmaintenanceEnables extracting text, structure, and image data from unstructured documents (PDF, DOCX, PPTX, SVG, PNG, JPG) and scanning folder trees.-
TDQS
Scored across 5 tools
Each tool has a clearly distinct purpose: read_document handles individual text documents, scan_folder lists metadata, analyze_folder_structure provides hierarchical stats, read_image_text does OCR, and analyze_folder batch-processes all files. Descriptions explicitly state what not to use each tool for, reinforcing boundaries.
All tool names follow a consistent snake_case verb_noun pattern (read_document, scan_folder, analyze_folder_structure, read_image_text, analyze_folder). The verbs are distinct and descriptive, and the pattern is uniform across the set.
With 5 tools, the server is well-scoped for file and folder analysis. Each tool covers a distinct aspect (single read, metadata scan, structure analysis, OCR, batch processing) without redundancy or missing essentials, making the count ideal for its purpose.
The tool surface covers the full lifecycle of file analysis: listing, detailed reading (both text and OCR), structural analysis, and batch processing. Error handling and truncation are addressed. No obvious gaps for the stated domain, such as missing file deletion or modification, which are out of scope.