file-analysis-mcp
Related Servers
Alternatives to file-analysis-mcp
No user-submitted related servers found.
Related Servers
- 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-
- FlicenseAqualityCmaintenanceEnables read-only scanning and text extraction from PDF, DOCX, PPTX, SVG, and PNG files in a local folder, providing the raw text to AI models for summarization or analysis without an external LLM API.5-
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to generate annotated file trees, retrieve file statistics, list git-changed files, and read file contents from local directories or GitHub repositories.MIT
- 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-
- FlicenseNot gradedqualityDmaintenanceEnables Large Language Models to safely browse and interact with local file systems through secure directory listing, file reading, and content search capabilities. Built with comprehensive security controls and high-performance handling of large directories and files.1-
- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to read, search, and analyze local file systems with tools for reading file contents, listing directories, searching by patterns, and analyzing folder structures for context-aware queries.-
TDQS
Scored across 2 tools
The two tools have clearly distinct responsibilities: one summarizes folder structure and statistics, while the other extracts content from document files. There is no overlap or ambiguity between them.
Both tool names follow a consistent verb_noun pattern: list_folder_structure and read_document. The naming is predictable and easy to understand.
With only two tools, the server feels minimal and borderline thin for a file-analysis purpose. Each tool is useful, but the overall surface is small and may leave users wanting more capability.
The pair covers folder structure analysis and document content extraction, but common file types like plain text and CSV are not supported, and there are no file search or metadata retrieval operations. These are notable gaps for a file-analysis server.