A
licenseA
qualityC
maintenanceProvides AI agents with local file-processing capabilities for token counting, RAG chunking, CSV/JSON conversion, QR generation, and more, while keeping documents private on the user's machine.
7
1
MIT
mcp-tools-for-agents
by theGuil
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TDQS
A4.4/5.0
Scored across 11 tools
Disambiguation5/5
Each tool targets a distinct operation: audio extraction, transcription, video probing, cutting, concatenation, scene detection, frame extraction, file listing/deletion, and job status/result retrieval. There is no meaningful overlap that would cause an agent to select the wrong tool.
Naming Consistency5/5
All tool names follow the snake_case verb_noun convention (extract_audio, cut_video, detect_scenes, list_files, delete_file) except job_status and job_result, which are noun_noun but still clearly patterned and consistent with the job subsystem. The style is uniform and predictable.
Tool Count5/5
11 tools is well within the ideal range for a focused media-processing server. Each tool covers a distinct need in the workflow: file discovery, inspection, editing, extraction, cleanup, and async job handling. No tool feels redundant or unnecessary.
Completeness4/5
The tool surface covers the core video/audio processing lifecycle: inspect, cut, concat, detect scenes, extract audio/frame, and transcribe, plus file and job management. Minor gaps exist such as no job cancellation or listing, and no upload tool, but these do not block the primary workflows.
Maintenance
ActivityMaintained
ResponsivenessNo issues