Display.dev vs TrackMCP: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Display.dev and TrackMCP — 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
TrackMCP
TrackMCP
Analytics for MCP servers — see which AI clients connect, which tools they call, whether the work completes and what to fix.
Key features
- One-line install: Drop the @trackmcp/sdk into an existing TypeScript or Python MCP server with no manual event tagging
- Client breakdown: See the share of traffic coming from Claude, Cursor, ChatGPT and custom agents
- Tool analytics: Per-tool call volume, adoption, latency percentiles and health status ranked in one table
- Workflow paths: Follow sessions from first request to result and see exactly where they stop
- Outcome tracking: Completion rates, sessions that reached a tool and returning clients within seven days
- Hidden-error detection: Flags calls that report 200 OK while returning isError, with retry counts and a suggested fix
- Real-time dashboard: Events appear as they happen across production and staging environments
- Alerts: Slack and webhook notifications when a tool starts failing or a workflow degrades
Best for
- An MCP server author finds out which of their tools agents actually call and which have never been used
- A team diagnoses why a checkout workflow stops at 38% instead of completing, by replaying the session path
- A maintainer catches a tool failing 94% of calls behind a 200 OK response that logs never surfaced
- A product team measures whether new clients keep coming back within seven days of first connecting
- An engineer compares latency and error rates across production and staging before shipping a schema change
- A company decides which MCP tools to invest in by ranking them on adoption rather than guesswork