---
title: "Build with us: compliance API, MCP and skills"
description: "Plug Inspack into your code, your agents, or your AI assistants with the label compliance API, the MCP server, or agent skills."
url: "https://www.inspack.com/build"
---

# Compliance, built for the AI stack

Plug Inspack into your code, your agents, or your AI assistants. One compliance layer – three ways in.

[Read the docs](https://docs.inspack.com/) · [Talk to a solutions engineer](https://www.inspack.com/book-a-demo)

**API**

```
# Send artwork, get findings
POST /api/v1/inspector/review
  objects:        [label.png]
  inspector_ids:  [12, 34]
→ 3 findings
  claim · allergen · net quantity
```

**MCP**

```
# Any MCP client
tool: review
  file:     label.pdf
  rules:    brand-guide
→ 2 to fix, 1 pass
  returned to your agent
```

**Skills**

```
# Skill: pre-print review
/inspack review label.pdf
  checks:   regulatory + brand
  output:   fix list
→ ready for approval
  saved to audit trail
```

Trusted by: Snapchat, Hightide, NextEra Energy, Catchmaster, Umami, Pernod Ricard, Jägermeister

## Why builders choose Inspack

Label compliance, streamlined for the AI stack.

### Built for label artwork

Handle any input: press-ready PDFs, AI files, PNGs, photographed packaging, or structured JSON. Parse panels (front, Supplement Facts, claims, warnings) and extract elements in one call.

### Checks that know label rules

FDA Supplement Facts format, DSHEA disclaimers, structure/function vs. disease claims, allergen warnings, net quantity, serving size. Versioned rulesets update automatically when regulations change, so you never rebuild to stay compliant.

### Pipeline you can compose

Call upload, list inspectors, and review as separate endpoints or chain them – whatever your workflow needs. Build once, compose differently for each use case (Supplement Facts only, brand review, full artwork audit).

## Three ways to build

Pick the layer that matches how you build. Or use all three.

### Programmatic label review

Send artwork (PDF, AI, PNG, or structured text), get parsed panels and findings back. REST endpoints with an OpenAPI spec. Rate-limited per workspace, audit-logged by default.

[Read the API docs](https://docs.inspack.com/api-reference/introduction)

`POST /api/v1/inspector/review`

```
curl -X POST "https://app.inspack.com/api/v1/inspector/review" \
  -H "Authorization: Bearer $INSPACK_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "objects": [
      {
        "type": "image",
        "content": "https://cdn.example.com/vitd3-press.png"
      }
    ],
    "inspector_ids": [123]
  }'
```

### Agent-discoverable label inspection

Run our MCP server in your agent stack. Claude, Cursor, and any MCP-compatible client get a typed toolset: upload files, list inspectors, run reviews, export reports. Agents compose the pipeline however they need.

[See available tools](https://docs.inspack.com/mcp/tools)

`mcp.json`

```
{
  "mcpServers": {
    "inspack": {
      "url": "https://app.inspack.com/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_INSPACK_API_KEY"
      }
    }
  }
}
```

### Agent-ready label review skills

Give your AI assistant a reusable review workflow for supplement labels. The skills pack includes instructions for FDA labeling checks, structure/function claims, DSHEA disclaimers, Supplement Facts panels, ingredients, warnings, and review handoff.

[Browse skills](https://docs.inspack.com/skills/overview)

`inspack-label-review/`

```
inspack-label-review/
  SKILL.md
  workflows/
    review-supplement-label.md
    check-structure-function-claims.md
    verify-dshea-disclaimer.md
  examples/
    supplement-label.pdf
    expected-findings.md
  mcp/
    inspack-tools.md
```

## The Extract → Review → Feedback pipeline

One label, three inspection stages. Compose them however you need.

### Extract

Upload artwork (PDF, AI file, photo, or structured text) and process it. Identifies all panels and elements (front panel, Supplement Facts, claims, ingredients, warnings, etc.).

![Flowchart showing doc-parse processing input documents into front panel, supplement facts, claims, ingredients, and warnings.](https://www.inspack.com/api/media/file/build-pipeline-1-extract.png)

### Review

Call get\_inspectors to list the relevant rules (FDA Supplement Facts, DSHEA disclaimer, structure/function claims, allergen warnings, etc.) or let the platform recommend them, then pass your inspector list to review. Get raw findings with location and severity.

![Flowchart showing parsed panels processed by get\_inspectors to select inspectors, then inspected to produce raw findings.](https://www.inspack.com/api/media/file/build-pipeline-2-review.png)

### Feedback

The same review call aggregates findings into a clean, human-readable summary grouped by panel, severity, or inspector. Export the Insights Report as PDF, use the JSON, or feed it directly into your design tool or Jira.

![Aggregated findings report](https://www.inspack.com/api/media/file/build-pipeline-3-feedback.png)

*Supplements is our example here; the same Extract → Review → Feedback pipeline runs for food, cosmetics, cannabis, pharma, and chemical labels.*

> Inspack makes working with influencers and UGC content faster and easier. We plug its API into our workflow to automate compliance checks, so content aligns with brand, platform and regulatory rules effortlessly.
>
> — **Julia Korosteleva**, Strategic Partnerships at TikTok

## Developer resources

Label compliance, streamlined for the AI stack.

### [API reference](https://docs.inspack.com/api-reference/introduction)

`/api`

/api/v1: `/upload/asset`, `/inspector/get_inspectors`, `/inspector/review`, `/documents/report-export`

### [MCP server docs](https://docs.inspack.com/mcp/overview)

`/mcp`

Tools: `prepare_upload`, `get_inspectors`, `review`, `report_export`

### [Skills library](https://docs.inspack.com/skills/overview)

`/skills`

`inspack-supplement-labels`, `Supplement facts panel`, `DSHEA`, `structure/function claims`

### [Status & changelog](https://status.getgen.ai/)

`status.getgen.ai`

Service uptime, API updates, breaking changes, and release notes.

## Got questions? We’ve got answers

Have questions about our services? Explore our detailed FAQ section for in-depth answers and insights.

### How does Inspack actually work? Guide me step by step.

You create as usual — ads, landing pages, or copy. If something breaks a rule or could be improved, Inspack instantly highlights it, explains why, and suggests how to fix it. You can accept the change with one click, and the text updates automatically.

### What kind of content does Inspack review?

Everything from digital ads, landing pages, and packaging to influencer content and partner collateral — in text, image, and video formats.

### Can we customize Inspack for our company’s internal guidelines?

Yes! Inspack can be trained on company-specific guidelines, brand standards, and custom rules. Clients have full access to add and manage their inspectors.

### Does Inspack integrate with my existing workflow?

Yes, Inspack seamlessly integrates with Google Docs, Jira, Microsoft Word, CMS platforms, and other workflow tools.

### How quickly can Inspack be implemented?

Most teams are up and running within days. Full integration—like customizing reports, roles, and workflows—typically takes 2–5 weeks.

### How does Inspack handle regulatory updates?

Rulesets are versioned and update automatically when a regulation changes. Our regulatory experts review each update, so your content stays aligned with current legal, regulatory, and policy requirements.

### Can Inspack check content against multiple rulesets at once?

Yes! You can apply multiple compliance layers—from brand rules to regulatory policies—simultaneously.

### Does Inspack guarantee 100% accuracy?

While Inspack dramatically reduces compliance errors, human oversight is recommended for high-stakes content.

## Ship label-compliant from day one

Start with the API for full control, or connect the MCP server to your agent. Get structured feedback in minutes, not weeks. Read the docs or talk to a solutions engineer.

[Read the docs](https://docs.inspack.com/) · [Talk to a solutions engineer](https://www.inspack.com/book-a-demo)

## Latest on Inspack

Exploring AI, compliance, and packaging validation practices

### [5 ways Inspack's compliance API reduces label errors](https://www.inspack.com/post/5-ways-inspacks-compliance-api-reduces-label-errors)

Article · Jun 15, 2026

Learn how Inspack’s compliance API integration catches label errors early, automates regulatory checks, and prevents costly recalls across your product range.

### [How compliance process automation helps meet global regulations](https://www.inspack.com/post/how-compliance-process-automation-helps-meet-global-regulations)

Article · Feb 23, 2026

Discover how compliance process automation streamlines packaging reviews, reduces errors, and ensures global regulatory compliance, speeding up market entry.

### [AI for product descriptions: automating review and compliance checks for faster approvals](https://www.inspack.com/post/ai-for-product-descriptions-automating-review-and-compliance-checks-for-faster-approvals)

Article · Oct 1, 2025

How AI can help automate compliance checks, reduce approval times, and keep listings accurate, consistent, and risk-free for regulated industries.

[Read more](https://www.inspack.com/resources)