test-files-mcp
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- FlicenseNot gradedqualityDmaintenanceEnables file operations (PDF, Office, images, archives, media) through natural language, with tools for reading, writing, converting, and analyzing files locally.1-
- FlicenseNot gradedqualityCmaintenanceGenerates images from text prompts using OpenAI's API, saves them locally, and serves them via an integrated HTTP static file server.-
- 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 gradedqualityBmaintenanceEnables AI agents to safely read and write files in a sandboxed workspace via natural language, with on-demand connection, CVE-hardened path confinement, injection resistance, and full audit logging.-
- AlicenseNot gradedqualityBmaintenanceEnables AI agents to safely list, read, and search files within a restricted local workspace, with safeguards against path traversal and configurable size limits.MIT
- FlicenseNot gradedqualityDmaintenanceGenerates images using Google's Gemini model, with options to save to file or return as base64 data URL.-
TDQS
Scored across 10 tools
Each tool maps to a distinct fixture category—generic dummy bytes, specific formats, corrupted files, edge-case filenames, and inspection—so an agent can select by intended purpose without ambiguity. Although corrupted-file and format-specific tools both generate files for error handling, the valid-vs-corrupted distinction is clear.
All creation tools follow a consistent create_<format>_tool pattern (e.g. create_pdf_tool, create_archive_tool), with inspect_file_tool as the one inspect_* verb. This makes the API predictable and easy to navigate.
Ten tools is well-scoped for a test-fixture generator: nine creators cover generic and format-specific cases plus an inspector. None seem redundant or excessive.
The set covers common fixture generation needs: arbitrary dummy files, specific formats, malformed/corrupted variants, difficult filenames, and metadata inspection. Missing cleanup/removal of generated fixtures and a few formats like video/docx are minor gaps, but core workflows are covered.