Display.dev vs KodHau MCP — The Governance Layer for your AI Agents: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Display.dev and KodHau MCP — The Governance Layer for your AI Agents — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Display.dev
Display
Turns HTML or Markdown into permanent, authenticated URLs restricted to your company.
Key features
- Gated Publishing: Converts HTML or Markdown into a permanent URL that requires company authentication, ensuring content is only accessible to authorized organization members.
- SSO Integration: Enforces single sign-on (SSO) access control so published pages are automatically restricted to users within the company's identity provider.
- Multi-Interface Publishing: Publish content via a command-line interface (CLI), MCP, or directly from the browser for fast workflows and CI/automation integration.
- One-Command Publish: Rapid publishing workflow where a single command or action creates a permanent, authenticated URL for HTML/Markdown artifacts.
- Agent Artifact Support: Designed to host agent-generated outputs and other programmatically produced HTML/Markdown artifacts behind corporate access controls.
- Permanent Stable URLs: Provides long-lived, stable links for sharing internal reports, demos, or documentation without exposing them publicly.
- Publish HTML and Markdown to permanent URLs
- Company-restricted authentication for published URLs
- Multiple publishing interfaces: CLI, MCP, and browser
- One-command publishing workflow for agent-generated artifacts
- Persistent hosting of published artifacts
Best for
- Publishing internal demos and prototypes so product teams can share interactive HTML prototypes with stakeholders behind company SSO.
- Hosting agent-generated reports or dashboards (LLM/automation outputs) as authenticated pages accessible only to company employees.
- Sharing internal documentation, release notes, or design specs via permanent, authenticated URLs instead of attaching files or using public hosting.
- Distributing secure marketing previews or partner demos to authorized viewers without making content publicly discoverable.
- Integrating publishing into CI/CD or automation pipelines to automatically publish build artifacts, test reports, or generated docs behind SSO.
- Providing single-click access to temporary or ephemeral artifacts for troubleshooting and collaboration while keeping them gated to the company.
- Publish agent-generated reports or artifacts behind company authentication
- Share internal documentation or demos as permanent, authenticated URLs
- Quickly expose HTML/Markdown outputs from automation or agents to teammates
- Create internally-restricted landing pages or previews without external hosting
KodHau MCP — The Governance Layer for your AI Agents
KodHau
KodHau MCP gives your AI agents the tribal knowledge of your team—PR history, design decisions, and review comments your engineers never documented.
Key features
- Tribal Knowledge Ingestion: Aggregates undocumented team knowledge such as PR history, design notes, and review comments to provide contextual signals for agents.
- PR and Code History Contextualization: Links pull request metadata and discussions to agent prompts so suggestions and actions reflect past decisions and rationale.
- Design Decision Capture: Stores and surfaces design rationale and trade-offs to ensure agents recommend solutions consistent with previous architectural choices.
- Review Comment Retrieval: Exposes reviewer feedback and comments to agents to prevent repeated mistakes and replicate reviewer expertise in automated workflows.
- Agent Governance Controls: Provides a governance layer that aligns agent outputs with team norms, enabling traceability and oversight of automated decisions.
- Onboarding and Knowledge Transfer: Uses captured institutional knowledge to accelerate new team member ramp-up and reduce reliance on tacit expertise.
- Ingests and indexes PR history as structured knowledge for agents
- Captures and stores design decisions and rationale