Skip to main content

Welcome to LightNow

LightNow is a managed MCP registry for public and private Model Context Protocol (MCP) servers.

It gives:

  • a single place to discover MCP servers,
  • a transparent, independent trust score for each server version, and
  • governance controls to decide which servers are allowed in which contexts.

LightNow is built on the official MCP Generic Registry API and can act as both a public catalog and an organization-scoped registry under your own subdomain like acme.lightnow.ai.

Who is LightNow for?

LightNow is designed for:

  • AI platform teams who manage MCP servers for many internal users,
  • security & compliance teams who want better visibility and trust signals,
  • developers who publish MCP servers and want a clean registry and evaluation layer.

Core capabilities

At a high level, LightNow provides:

  • Registry & discovery

    • Public catalog of MCP servers
    • Tenant-specific registry for private servers
    • Search & filter by capabilities, transports and metadata
  • Trust & evaluation

    • 0–100 trust score per server version
    • Multi-layer signals: identity, ownership, security, reputation
    • Consistent trust indicators in lists, cards and detail views
  • Ownership & governance

    • Domain verification (DNS / /.well-known)
    • Repository ownership via GitHub App and other strategies
    • Policy hooks to restrict usage based on trust and ownership
  • Tenants & customization

    • Organization workspaces with custom subdomains (e.g. acme.lightnow.ai)
    • Tenant-level branding (logo + colors)
    • SSO / identity provider federation

Plans and deployment

LightNow supports several plans:

  • Free – public registry and basic discovery
  • Standard – for professional users with private registry features
  • Enterprise – tenant workspaces with SSO and governance features
  • Enterprise Dedicated – isolated deployments (BYOC / on-prem) for larger organizations

The SaaS offering runs on lightnow.ai.
The same core architecture can be deployed as dedicated instances in your own environment.


Next steps:

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our Privacy Policy.