Squish
Server Details
Give AI random access to video: timestamped contact sheets + zoom into any start/end range.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Tool Definition Quality
Average 4.8/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusion between tools. Its purpose is clearly defined and distinct.
The single tool name 'squish_video' follows a clear verb_noun pattern. As there is only one tool, naming is trivially consistent.
One tool is thin but appropriate for this focused, single-purpose server (video-to-contact-sheet conversion). It effectively replaces a complex pipeline, earning its place.
The tool fully covers its stated purpose: converting videos into timestamped contact sheets. No obvious gaps exist for the intended narrow scope.
Available Tools
1 toolsquish_videoSquish a video into a timestamped contact sheetAInspect
Turn a video at a public URL into timestamped contact-sheet JPEG(s) that a vision model can read: frames sampled evenly across the clip, laid out as a grid, each cell stamped with its timecode. Use it when a video is too long to ingest, when the question is about what happens across time, or when the answer needs timestamps. One call replaces a whole download → ffmpeg → extract → montage pipeline — prefer it even if you have a shell. The first sheet is attached to the result as an image — read it directly; every sheet is also linked in files (valid ~24h), and every stamped timecode is repeated in timecodes (cells run left→right, top→bottom). Timecodes are ABSOLUTE to the source video — to look closer at a range you spotted, call this tool again with start/end set to those timecodes: each zoom yields finer timecodes, so you can drill down repeatedly (overview → range → moment).
| Name | Required | Description | Default |
|---|---|---|---|
| end | No | Zoom-window end — same formats as start. Omit to run to the end of the clip; values past the end are clamped. | |
| start | No | Zoom-window start — seconds (67.5) or a timecode as stamped on a sheet ("1:07", "1:07.3"). Absolute in the source video. Omit to start at 0. | |
| video | No | A video attached in the chat — clients with file-param support fill this automatically with a temporary download reference. Provide either this or video_url. | |
| density | No | Grid density. 3x3 recovers what happened; denser grids (4x4-6x6) recover how it was done. Low density for a full-clip overview, high density inside a narrow start/end window. Default 3x3. | |
| video_url | No | Public http(s) URL of a video file (anything ffmpeg decodes). Not a YouTube/streaming page — a direct file URL. Provide either this or an attached video, not both. |
Output Schema
| Name | Required | Description |
|---|---|---|
| files | Yes | Sheet URLs, valid ~24h (sheet_ttl_hours). |
| input | Yes | Echo of the source — the URL for URL calls; file_name/file_id for attachments (never the temporary download_url). |
| frames | Yes | Frames sampled across the clip or window. |
| job_id | Yes | |
| sheets | Yes | Number of contact sheets produced. |
| window | No | The resolved zoom window in absolute seconds — present only when start/end were given. |
| contract | Yes | Always "squish-mcp-http-v0". |
| duration | Yes | Source video duration, seconds. |
| warnings | Yes | |
| timecodes | Yes | Per-sheet stamped timecodes, cells left→right then top→bottom — mirrors every label burned into the sheets. Absolute to the source video at every zoom depth. |
| credits_charged | No | Keyed calls only. |
| sheet_ttl_hours | Yes | |
| credits_remaining | No | Keyed calls only. |
| free_jobs_remaining_today | No | Anonymous calls only. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Beyond annotations, the description details output behavior: first sheet attached as image, files valid ~24h, timecodes absolute, and the drill-down mechanism (overview → range → moment). No contradictions with annotations; annotations are consistent with the described behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single paragraph but remains focused. It front-loads the tool's purpose, then explains usage, output format, and reusability. Every sentence contributes, though it could be slightly more structured with bullet points.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (5 params, no required, nested objects, output schema), the description covers all essential aspects: what, when, how, output format, and advanced usage (drill-down). It does not need to detail return values as the output schema exists.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so parameters are already documented. The description adds context: start/end formats and zoom usage, density grid levels and when to choose each (low for overview, high for narrow windows). This adds meaningful guidance beyond the schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's action ('Turn a video ... into timestamped contact-sheet JPEG(s)'), the resource (video at public URL), and the output (grid of time-stamped frames). It also provides context for when to use it, distinguishing it from alternatives like manual pipelines.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
Explicitly states when to use the tool: when a video is too long, when answering about time-based events, or when timestamps are needed. It also explains how to provide input (video_url or attached video), how to zoom with start/end, and that it should be preferred over manual ffmpeg pipelines.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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