Schema | local-agent-senses

local-agent-senses

Describes the environment variables required to run the server.

Name	Required	Description	Default
`OLLAMA_EXE`	No	Full path to the ollama executable
`OLLAMA_HOST`	No	Ollama address	http://localhost:11434
`VISION_FONT`	No	Font used by the health-check image
`VISION_YTDLP`	No	Full path to yt-dlp
`OLLAMA_MODELS`	No	Model dir (disk check)	~/.ollama/models
`VISION_CONFIG`	No	Path to the configuration file
`VISION_FFMPEG`	No	Full path to ffmpeg
`VISION_API_KEY`	No	API key for the endpoint
`VISION_API_BASE`	No	OpenAI-compatible endpoint, e.g. http://localhost:11434/v1
`VISION_MCP_CACHE`	No	Persist MCP results to disk (hits across server restarts)	true
`VISION_KEEP_ALIVE`	No	Model residency (0 = unload immediately)	10m
`VISION_MAX_TOKENS`	No	Output budget for transcription mode	98304
`VISION_SPEECH_ENV`	No	Conda env name for speech	funasr
`VISION_TEXT_MODEL`	No	OCR / transcription model	haervwe/GLM-4.6V-Flash-9B
`VISION_QUICK_MODEL`	No	Fast image/video model	qwen3.5:4b
`VISION_QUICK_THINK`	No	Enable Qwen thinking mode	false
`VISION_MAX_IMAGE_MB`	No	Local/stdin image size cap (MB)	20
`VISION_BUDGET_PIXELS`	No	Pixel budget; frames drop automatically	20000000
`VISION_MCP_CACHE_DIR`	No	MCP disk-cache directory
`VISION_SPEECH_PYTHON`	No	Full path to the speech interpreter
`VISION_MAX_DURATION_H`	No	Video/audio duration cap (hours); longer inputs rejected; 0 disables	6
`VISION_MAX_DOWNLOAD_MB`	No	RAM cap for unknown-type URL buffering	500
`VISION_SINGLE_RESIDENT`	No	Keep only one model resident (VRAM)	true
`VISION_QUICK_MAX_TOKENS`	No	Output budget for quick mode	16384

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }

Functions exposed to the LLM to take actions

Name	Description
describe_imageA	Describe or understand one or more images with a local vision model (scene, objects, colors, UI, etc.). Returns JSON: {"text": ..., "mode": "image", "media": [...]}.
transcribeA	Verbatim transcription of text in images/documents/screenshots/video subtitles (no summary, judgment, or interpretation). Returns JSON with text and, for videos, frame timestamps.
analyze_videoA	Analyze a video with a local vision model: scenes, actions, time-window deep reading, contact sheets, etc. Returns JSON: {"text": ..., "mode": ..., "frames": [{"t": ..., "w": ..., "h": ...}], "duration": ...}.
transcribe_audioA	Speech-to-text (FunASR SenseVoice, with timestamps; embedded subtitle tracks are preferred when available). Returns JSON: {"text": ..., "source": "asr"\|"subtitle"}.
vision_statusA	Show the vision backend status (models, backend type, ffmpeg, speech environment, GPU, watchdog).
vision_checkA	Run the environment health check (image reading, transcription, video sampling; can be slow).

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/Scheme0/local-agent-senses'

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