Mowgli MCP - Integration Guide¶

What it does: Mowgli is an intelligent product canvas that connects to coding agents via MCP. It lets product teams and developers iterate on product design - from sweeping new flows down to surgical component tweaks - and sync changes back to code, all through natural language conversations.

Why it matters: The design→development handoff is one of the highest-friction points in product development. Mowgli MCP eliminates "design drift" by making the product canvas directly accessible to AI coding agents, enabling faithful design-to-code translation and real-time design iteration without Figma exports, screenshots, or manual specification.

Quick Info¶

Field	Value
Transport	Streamable HTTP (remote)
Authentication	API key / OAuth
Endpoint	`https://app.mowgli.ai/mcp`
Source	`app.mowgli.ai`
Category	Product Design & UX
CorpusIQ Verdict	★★★★☆ - Game-changing for product teams, early-stage

Setup¶

Prerequisites¶

Mowgli account (free tier available)
Mowgli project with an active canvas
API key from Mowgli dashboard → Settings → API

1. Get API Key¶

# In Mowgli dashboard:
# Settings → API → Generate Key
# Copy the key - it's shown once

2. Configure MCP Client¶

Add to your claude_desktop_config.json or equivalent:

{
  "mcpServers": {
    "mowgli": {
      "type": "sse",
      "url": "https://app.mowgli.ai/mcp",
      "headers": {
        "Authorization": "Bearer <your-api-key>"
      }
    }
  }
}

For Claude Code or terminal-based clients:

{
  "mcpServers": {
    "mowgli": {
      "command": "npx",
      "args": ["-y", "@mowgli/mcp-server"],
      "env": {
        "MOWGLI_API_KEY": "<your-api-key>",
        "MOWGLI_PROJECT_ID": "<your-project-id>"
      }
    }
  }
}

Available Tools¶

Tool	Description
`get_canvas`	Retrieve the current product canvas - screens, flows, components
`get_screen`	Get a specific screen's design, components, and states
`get_component`	Get detailed specs for a specific component (colors, spacing, variants)
`update_component`	Modify a component's properties (text, color, layout, state)
`create_screen`	Create a new screen with specified components and layout
`add_component`	Add a new component to an existing screen
`get_design_tokens`	Retrieve the project's design tokens (colors, typography, spacing)
`suggest_improvements`	AI-powered suggestions for UX improvements on a screen
`export_for_code`	Export screen/component as structured data for code generation
`sync_from_code`	Update canvas to reflect code changes (keep design in sync)

Operator Workflows¶

Design Review → Code¶

Agent: "Review the onboarding flow in canvas and suggest improvements."
→ get_canvas(flow: "onboarding")
→ suggest_improvements(screen: "onboarding-step-2")
Agent: "Apply the suggestion to add a progress indicator and update the CTA text."
→ update_component(screen: "onboarding-step-2", component: "cta-button", text: "Continue to Step 3")
→ add_component(screen: "onboarding-step-2", type: "progress-bar", position: "top")
Agent: "Now generate the React code for this updated screen."
→ export_for_code(screen: "onboarding-step-2", framework: "react")

Rapid Prototyping¶

Agent: "Create a settings page with profile, notifications, and billing sections."
→ create_screen(name: "Settings", sections: ["profile", "notifications", "billing"])
Agent: "Add email notification toggles: marketing, product updates, security alerts."
→ add_component(screen: "Settings", section: "notifications", type: "toggle-group", items: ["marketing", "product-updates", "security-alerts"])
Agent: "Use the project's design tokens for consistent styling."
→ get_design_tokens()
→ [Applies tokens to new components]

Design Drift Detection¶

Agent: "Compare the current checkout screen in code against the Mowgli canvas."
→ get_canvas(flow: "checkout")
→ [Agent compares against codebase]
Agent: "Found 3 discrepancies: button color, spacing in form, missing loading state. Update code to match canvas."
→ export_for_code(screen: "checkout", format: "diff")

Integration with CorpusIQ¶

CorpusIQ is the connector layer that lets AI assistants read the systems a business already runs on - accounting, payments, CRM, email, files and analytics - and answer with the source named. It is read-only by design: it retrieves data and never writes to, or acts in, a connected system, which is what makes it safe to point at live accounts.

This page is part of the CorpusIQ directory, the reference we maintain for the MCP server and agent-skill ecosystem. Run alongside CorpusIQ, a third-party server like this one can be combined with a company's own business data in a single answer.

See what CorpusIQ connects

Limitations¶

Early-stage product: Mowgli is newer than established tools like Figma
Canvas complexity: Very large canvases (50+ screens) may hit token limits
No Figma import: Cannot yet import existing Figma files (on roadmap)
Component library: Growing but smaller than Figma community libraries
Real-time collaboration: Single-user editing via MCP; multi-user coming

Alternatives¶

Server	Best For
Figma MCP	Established design teams with existing Figma files
Design Context Bridge	Direct Figma-to-code (reads Figma files without Mowgli canvas)
Penpot MCP	Open-source design tool alternative
Builder.io MCP	Visual CMS + design-to-code for marketing sites

CorpusIQ Assessment¶

Strategic Value: High. The product canvas approach - where design lives as structured data that both humans and AI can manipulate - is the future of design-to-code workflows. Mowgli's MCP integration makes this vision tangible today.

Integration Difficulty: Low. Remote endpoint with API key auth. No local dependencies.

Risk: Medium. Early-stage product means potential API changes and growing pains. The core concept is sound.

Recommendation: Catalog and recommend for product teams who want AI-assisted design iteration. Pairs exceptionally well with coding agents (Claude Code, Cursor, Codex) for design-to-code workflows. Watch for Figma import support (on roadmap) which would dramatically expand utility.