cerase-media MCP
First-party multimodal understanding (M-MEDIA-1 = the merge of the former cerase-ocr + cerase-transcriber): five async tools over the multimodal tool-model alias through cerase-litellm, billed per-agent. The last two (analyze_ui, compare_screenshots) are the UX/UI screenshot pair added by M-CERASE-MEDIA-UX — same multimodal endpoint, specialised prompts, no extra dependency.
| Tool | Question it answers | Returns | |---|---|---| | ocr | what is WRITTEN in this image? | {text, model} | | describe_image | what does this image SHOW? | {description, model} | | transcribe | what does this audio say? | {text, model} | | analyze_ui | what's in this UI screenshot? — structured audit of layout, typography, colours, interactive elements, text, visual errors, accessibility, consistency | {analysis, model} | | compare_screenshots | what changed between two screenshots? — before/after visual diff (layout / text / style / new / removed / regressions) | {diff, model} |
Image input is accepted three ways (pick one): path (a file under CERASE_TOOL_WORKSPACE_ROOT), image_url, or image_base64. compare_screenshots takes the two-image variants (path1/image1_url/ image1_base64 and path2/…).
Async by design: the tools are ~100% LLM-wait, so concurrent requests run on parallel I/O lanes inside the single runner container (no per-modality queue). ffmpeg (audio normalisation) runs as an async subprocess.
Env: LITELLM_BASE_URL, LITELLM_MASTER_KEY (scoped service key), CERASE_MULTIMODAL_ALIAS (default multimodal), CERASE_TOOL_WORKSPACE_ROOT (path-traversal guard root).
