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Verified Oct 15, 2026

Vivu

Verified Oct 15, 2026 Active
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Turns a company's video library into a queryable context source AI agents can pull from via API or MCP.

video searchcontext layermcp serverContact sales

Listed on EffectHub ·

Web · API
Screenshot of the Vivu website
#1799
vivu.ai as we captured it — our own screenshot, not the vendor’s press image.

Pricing

Pricing model
Contact sales

No public pricing; engagement starts with a demo.

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Overview

About Vivu

Vivu, built by a Seattle-based team with backgrounds at Microsoft and Unity, indexes an organization's video library so AI agents and tools can query it as a source of context alongside text data. It describes its architecture as a live graph that ingests footage and other external sources into a connected network of video and context nodes, aimed at use cases in marketing, robotics, and customer support where answers currently live in unsearched video rather than documents. Access is through an API or an MCP server rather than a consumer app, with developer documentation available; there's no self-serve signup or published pricing, and the only entry point is booking a demo.

Platforms
Web · API
API
Yes
Last verified
Oct 15, 2026

Verified sources

  • Describes the video-as-context-layer product, API, and MCP servervivu.ai ↗
  • States team background and Seattle locationvivu.ai ↗
Fact check

Is Vivu legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Domain registered
Aug 31, 2023 (3 years ago)Registry record (RDAP), registrar Cloudflare, Inc, looked up Sep 6, 2026
TLS certificate
Issued by Let's Encrypt, valid until Jan 12, 2027Seen in our own connection to the site on Oct 15, 2026
Last checked
Oct 15, 2026The site answered
Operated by
Vivu Inc., United StatesOur research, card verified Sep 1, 2026

How we collect these records

Editorial verdict

Pros & cons of Vivu

medium confidence

Vivu addresses a specific infrastructure gap -- making a company's existing video footage queryable by AI agents the same way text documents already are -- rather than building another consumer video tool. It's early enough that there's no self-serve product or public pricing yet, so evaluating it means booking a demo rather than testing it directly.

Pros

  • Team background in video AI at scale (cited prior work reaching 10M+ users, 100M+ hours of video)
  • Offers both a direct API and an MCP server for agent integration
  • Targets a concrete, underserved problem (video as agent context) rather than a crowded consumer category

Cons

  • No public pricing or self-serve access
  • No named customers or case studies visible on the site
  • Early-stage product with limited independent verification of claims

Best for

  • Companies with large unindexed video libraries wanting to expose them to AI agents
  • Teams already building on MCP who want video as an additional context source
  • Robotics or support teams whose institutional knowledge lives in recorded video

Not for

  • Anyone wanting a self-serve signup or free trial today
  • Consumer users looking for a video-editing or generation tool
  • Teams without a technical integration path (API/MCP only)
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