Noodle4

Connect Noodle4 to agents through MCP.

Expose monitors, reviews, and search to agents and tools via MCP. The reasoning engine stays grounded in your briefs and SKU libraries.

Throwing a video at a one-shot agent guarantees hallucinated reviews because it lacks structural brand context. MCP is how Noodle4 sits inside the tools you already use without turning the model loose. Agents get monitors, reviews, and search as tools, grounded in your briefs and SKU libraries, with the same harness we use in the workspace — not an open question about how the clip felt.

Monitors, reviews, search

Agents get those as tools, grounded in your briefs and SKU libraries — not an open question about how the clip felt.

Same evidence as the workspace

SKUs, comment lanes, review outcomes. The model fills closed fields. It does not get to narrate.

In the product

Tools

Monitor, review, and search inside the agents you already run.

Context

Briefs and SKU libraries travel with the call. Structural brand context, not a one-shot.

Closed

Fields, not a narrative. The same harness as the workspace.

Alongside API

MCP where agents live. HTTP where your stack already speaks REST.

Reasoning as a tool

Throwing a video at a one-shot agent guarantees hallucinated reviews. MCP keeps the pipeline grounded in your context.

What it does

Reasoning as a tool

Embed the pipeline in agent workflows. The model does not get to narrate. It fills the same closed fields.

Same evidence

What MCP returns is what the workspace would return: evidence, SKUs, comment lanes — not a chat summary.

Alongside the API

Use MCP where agents live. Use the API where your stack already speaks HTTP. Same foundation.

How it works

  1. 1. Connect — Point the agent at Noodle4 MCP.
  2. 2. Scope — Briefs, libraries, and workspace context.
  3. 3. Call — Monitor, review, or search as tools.
  4. 4. Ground — Closed schemas, not open VQA.

Who it is for

Platform teams

Put Noodle4 inside the agents you already run. The model fills closed fields. It does not get to narrate the clip.

Ops

Same evidence as the workspace — SKUs, comment lanes, review outcomes — not a chat summary of the video.

Engineering

MCP where agents live. HTTP where your stack already speaks REST. One foundation underneath.

Frequently asked questions

What is Noodle4 MCP?

A way to expose monitors, reviews, and search as tools inside the agents you already run. The pipeline stays grounded in your briefs and SKU libraries.

Will the agent just summarise the video?

No. Throwing a video at a one-shot agent guarantees hallucinated reviews. MCP fills the same closed fields as the workspace. The model does not get to narrate.

Is MCP a replacement for the API?

No. Use MCP where agents live. Use the HTTP API where your stack already speaks REST. Same foundation, same evidence.

What does an MCP call return?

What the workspace would return: evidence, SKUs, comment lanes, review outcomes. Not a chat summary of the clip.