Boston doesn't just breed startups. It breeds operators who've seen the inside of billion-dollar exits and still come back hungry. That's the DNA behind Jellyfish. Founded in 2017 by Andrew Lau, David Gourley, and Philip Braden, the company set up at 225 Franklin Street with one mission: bridge the gap between engineers building and executives betting. The founders lived that disconnect at Endeca, the Cambridge outfit Oracle scooped up for $1B+. They knew the gap wasn’t abstract. It was personal. Jellyfish was their answer.
Eight years later, Jellyfish is back with a launch that pushes its platform closer to an operating system. On Sept 9, 2025, the company released its Model Context Protocol server as a Claude Desktop extension. That may sound technical, but the shift is anything but academic. What used to require API integration is now a desktop download. Ask Claude “Where are we investing engineering effort this quarter?” and the answer arrives conversationally, in real time, safeguarded by Meta's #Llama #PromptGuard2.
This isn’t a gimmick. It’s a structural change in how engineering intelligence gets delivered. Jellyfish already powers 500+ organizations, Mastercard, PagerDuty, Priceline, ZoomInfo, Hootsuite among them, but this extension lowers the barrier for every stakeholder. Finance can query allocation. Product can explore delivery. Leadership can ask about throughput. No dashboards, no gatekeeping. Just data in plain language.
The MCP push carries Nicholas Arcolano, Ph.D.’s fingerprints. Jellyfish’s Head of Research, a Harvard University-trained mathematician, has published lessons from MCP experimentation since Anthropic unveiled the protocol in 2024. Others are validating too: Jamie Newcomb at Ably has shared how MCP integration evolved from basic retrieval to analysis that shaped decisions.
The official blog post was signed by Sophie, a Jellyfish research intern. Light on detail, heavy on intent: take the intelligence already humming inside Jellyfish and make it available in workflows people adopt daily.
Momentum backs the move. Jellyfish has raised $114.5M through Series C, tripled revenue and headcount in 2021, launched an AI Impact Dashboard in 2024, and landed on Forbes’ Next Billion-Dollar Startups in 2023. Competitors like LinearB, Swarmia, and Waydev can’t match the same focus. Jellyfish has always been less about vanity metrics, more about business clarity. Now that clarity speaks back.
The extension is more than a technical win. Once your engineering intelligence plugs seamlessly into AI workflows, it stops being optional, it becomes indispensable. The only real question is how many teams will be waiting when Jellyfish expands to more platforms.
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