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Jumper now integrates with Claude Desktop and OpenAI Codex Desktop, allowing AI agents to operate directly inside Jumper.
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This is pretty crazy stuff.
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These integrations let agents query Jumper’s backend and orchestrate multi-step workflows across your analysed media.
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With these new integrations, the agent can operate Jumper just like a human.
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- Search visually across analyzed footage
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- Search across transcriptions
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- Retrieve clip segments
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- Find similar clips
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- Find clips by face recognition
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- Trigger workflow actions (e.g. export a sequence to Premiere, Final Cut Pro, DaVinci Resolve or Avid Media Composer)
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But it can also do things that you can’t do with the normal Jumper interface.
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For example:
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- Export scenes as individual files to a folder
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- Export a set of clips as a sequence for your editing software
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Since the agent is acting as the orchestrator of the workflow, you can give it a complex task and it will break it down into smaller steps and execute them in the correct order. For example:
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- “use Jumper to find all shots of Anna smiling, export as individual files and also export a sequence to premiere”
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- “use Jumper to cut a sizzle reel from the event footage in /day1_footage/ and the voiceover is sizzle_reel_audio.wav”
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This has the potential to speed up time consuming tasks that are a part of the routine media production process. Finding B-roll that matches a script, pulling every clip of a certain person, creating sequences of selects and probably a host of other tasks that we haven’t thought of yet.
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Since you can run multiple agents in parallel, you can fire off multiple tasks at the same time and focus on other tasks while the agents are working.
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At the moment, Jumper is compatible with Claude Desktop (Chat, Cowork and Code) and OpenAI Codex Desktop. The team are working on adding support for other agents in the future.
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If you're interested in testing out MCP support in Jumper, make sure you sign up for a [free trial](https://getjumper.io/?ref=fcpcafe) and join the Discord.
For those unfamiliar, Pipeline Neo is an experimental FCPXML library built with the assistance of LLM tools.
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It currently supports reading, creating, and modifying FCPXML documents and bundles, with parsing and validation against bundled DTDs spanning versions `v1.5` through `v1.14`.
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Typed models cover resources, clips, adjustments, filters, transitions, multi-cam, captions, smart collections and many more.
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Pipeline Neo provides a strong foundation and the essential building blocks for expanding FCPXML parsing and reading capabilities and adding features.
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You can learn more on [GitHub](https://github.com/TheAcharya/pipeline-neo).
<description><![CDATA[<p>Iain Anderson has written a very detailed <a href="https://www.provideocoalition.com/final-cut-pro-10-6-6-for-mac/">Final Cut Pro 10.6.6 blog post</a> over at Pro Video Coalition.</p>
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<guid isPermaLink="false">18th February 2026</guid>
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<pubDate>Wed, 18 Feb 2026 00:00:00 GMT</pubDate>
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<title><![CDATA[19th February 2026]]></title>
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<description><![CDATA[<p>Following on from yesterday's post, <strong>macOS Tahoe 26.4 Beta</strong> also <a href="https://x.com/tekezo/status/2024132161717330388">breaks Karabiner-Elements</a>.</p>
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<p>Given Apple seems to have made some MAJOR under-the-hood changes to <strong>macOS Tahoe 26.4 Beta</strong>, I would avoid upgrading for the time being.</p>
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]]></description>
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<link>https://fcp.cafe/#19th-february-2026</link>
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<guid isPermaLink="false">19th February 2026</guid>
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<pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate>
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<title><![CDATA[19th February 2026]]></title>
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<description><![CDATA[<p><a href="https://iain-anderson.com">Iain Anderson</a> and myself (Chris Hocking) will be on <strong>Final Cut TV LIVE!</strong> tonight!</p>
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<p>We'll be chatting about our upcoming <a href="https://scriptstar.fcp.cafe">ScriptStar</a> application release.</p>
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<p>You can watch on <a href="https://www.youtube.com/live/5RIfXrnd3ZM">YouTube</a>:</p>
<guid isPermaLink="false">19th February 2026</guid>
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<pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate>
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<title><![CDATA[19th February 2026]]></title>
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<description><![CDATA[<p><strong>Dylan Higginbotham</strong> has posted a new blog post titled, <strong>The Easiest Way to Add Captions in Final Cut Pro (Just 3 Steps)</strong>.</p>
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<p>You can read about it on the <a href="https://stupidraisins.com/the-easiest-way-to-add-captions-in-final-cut-pro-just-3-steps/">Stupid Raisins blog</a>.</p>
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]]></description>
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<link>https://fcp.cafe/#19th-february-2026</link>
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<guid isPermaLink="false">19th February 2026</guid>
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<pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate>
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</item>
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<title><![CDATA[19th February 2026]]></title>
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<description><![CDATA[<p>Introducing <strong>Agentic Editing</strong> in <strong>Jumper</strong>! 🥳</p>
<p>Jumper now integrates with Claude Desktop and OpenAI Codex Desktop, allowing AI agents to operate directly inside Jumper.</p>
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<p>This is pretty crazy stuff.</p>
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<p>These integrations let agents query Jumper’s backend and orchestrate multi-step workflows across your analysed media.</p>
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<p>With these new integrations, the agent can operate Jumper just like a human.</p>
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<ul>
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<li>Search visually across analyzed footage</li>
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<li>Search across transcriptions</li>
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<li>Retrieve clip segments</li>
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<li>Find similar clips</li>
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<li>Find clips by face recognition</li>
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<li>Trigger workflow actions (e.g. export a sequence to Premiere, Final Cut Pro, DaVinci Resolve or Avid Media Composer)</li>
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</ul>
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<p>But it can also do things that you can’t do with the normal Jumper interface.</p>
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<p>For example:</p>
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<ul>
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<li>Export scenes as individual files to a folder</li>
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<li>Export a set of clips as a sequence for your editing software</li>
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</ul>
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<p>Since the agent is acting as the orchestrator of the workflow, you can give it a complex task and it will break it down into smaller steps and execute them in the correct order. For example:</p>
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<ul>
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<li>“use Jumper to find all shots of Anna smiling, export as individual files and also export a sequence to premiere”</li>
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<li>“use Jumper to cut a sizzle reel from the event footage in /day1_footage/ and the voiceover is sizzle_reel_audio.wav”</li>
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</ul>
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<p>This has the potential to speed up time consuming tasks that are a part of the routine media production process. Finding B-roll that matches a script, pulling every clip of a certain person, creating sequences of selects and probably a host of other tasks that we haven’t thought of yet.</p>
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<p>Since you can run multiple agents in parallel, you can fire off multiple tasks at the same time and focus on other tasks while the agents are working.</p>
<p>At the moment, Jumper is compatible with Claude Desktop (Chat, Cowork and Code) and OpenAI Codex Desktop. The team are working on adding support for other agents in the future.</p>
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<p>If you're interested in testing out MCP support in Jumper, make sure you sign up for a <a href="https://getjumper.io/?ref=fcpcafe">free trial</a> and join the Discord.</p>
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]]></description>
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<link>https://fcp.cafe/#19th-february-2026</link>
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<guid isPermaLink="false">19th February 2026</guid>
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<pubDate>Thu, 19 Feb 2026 00:00:00 GMT</pubDate>
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</item>
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<title><![CDATA[19th February 2026]]></title>
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<description><![CDATA[<p><strong>Pipeline Neo v2.3.1</strong> has been released!</p>
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<p>For those unfamiliar, Pipeline Neo is an experimental FCPXML library built with the assistance of LLM tools.</p>
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<p>It currently supports reading, creating, and modifying FCPXML documents and bundles, with parsing and validation against bundled DTDs spanning versions <code>v1.5</code> through <code>v1.14</code>.</p>
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<p>Typed models cover resources, clips, adjustments, filters, transitions, multi-cam, captions, smart collections and many more.</p>
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<p>Pipeline Neo provides a strong foundation and the essential building blocks for expanding FCPXML parsing and reading capabilities and adding features.</p>
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<p>You can learn more on <a href="https://github.com/TheAcharya/pipeline-neo">GitHub</a>.</p>
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]]></description>
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<link>https://fcp.cafe/#19th-february-2026</link>
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<guid isPermaLink="false">19th February 2026</guid>
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