Squish

io.github.getsquish/squishVersion 0.3.1

Give AI random access to video: timestamped contact sheets + zoom into any start/end range.

Status

Responds653 msNov 14, 2026, 14:51 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:51 UTC
Latency: 653 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 21:12 UTC

Data from the official MCP Registry, checked by run.zero. How we check

Connect

Streamable HTTP

https://api.getsquish.app/mcpResponds653 msNov 14, 2026, 14:51 UTC

No sign-in

Claude Code

claude mcp add --transport http squish https://api.getsquish.app/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: squish
Remote MCP server URL: https://api.getsquish.app/mcp

Cursor

{
  "mcpServers": {
    "squish": {
      "url": "https://api.getsquish.app/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"squish","type":"http","url":"https://api.getsquish.app/mcp"}'

Streamable HTTP

npm: @getsquish/squish 0.3.1

Package only

npm (npx)

claude mcp add squish -- npx -y @getsquish/squish@0.3.1

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Tools

1 tools

Tools of Squish
	Description		Read-only	Idempotent	Open world
`squish_video`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. 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).	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. 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).	No	No	Not declared	Yes

Details

Registry status: Active
Published: Jul 18, 2026
Updated: Jul 18, 2026
Website: https://getsquish.app/⁠ (opens in a new tab)
Repository: https://github.com/getsquish/squish⁠ (opens in a new tab)
Categories (suggested): CommunicationSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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