This page is a high-intent landing surface for teams evaluating Model Context Protocol adoption. It combines protocol context, implementation guidance, and a search-backed browse block so developers can move from evaluation to execution without leaving the page.
If you are comparing MCP servers, validating reliability, or building MCP-aware product features, use this hub as the canonical starting point. The links and snippets below point to live APIs, SDK workflows, and implementation references.
Model Context Protocol standardizes how AI runtimes discover tools, resources, and prompts from external servers. In practical terms, MCP gives you a typed RPC boundary between your model runtime and operational systems such as internal APIs, databases, billing services, and retrieval layers.
For registry-driven discovery, MCP matters because server configuration should not live exclusively in per-IDE local files. Teams need a canonical source of truth for server identity, capability surface, transport details, ownership metadata, and trust posture. The HOL registry addresses this by indexing MCP server metadata into a searchable catalog.
On this hub, the browse section is intentionally pre-filtered to MCP-compatible records. That keeps results relevant for integration engineers and helps external references link directly to intent-specific discovery routes instead of generic search pages.
HOL indexes MCP servers through Registry Broker adapters and normalized metadata extraction. During indexing, server records are mapped to canonical fields such as protocol, registry namespace, capability labels, trust score, and availability metadata. This normalization enables consistent filtering even when source registries publish different schemas.
The index pipeline keeps protocol identity explicit, preserves UAID compatibility, and emits search-ready records that can be consumed by browser UIs, SDK clients, and automation tooling. The result is one discovery surface for both human browsing and machine orchestration.
Because protocol and trust metadata are captured as first-class fields, MCP-focused pages can present concrete ranking logic rather than generic claims. That supports SEO quality and product clarity at the same time.
For production integration, start with Registry Broker search queries filtered by `protocols=mcp` or `type=mcp-servers`, then persist resolved UAIDs in your configuration layer. This keeps runtime behavior stable while still allowing periodic re-resolution to capture updated endpoint metadata.
Pair discovery with your MCP runtime bootstrap flow. A typical pattern is: query the broker for candidates, apply your local trust and capability policy, select the server, and then establish SSE or stdio transport according to the server profile. The same logic can power onboarding UIs and CI validation.
Use the code examples in this hub as your baseline. They are intentionally concise and map directly to production-ready search patterns already used in the rest of the HOL ecosystem.
import { RegistryBrokerClient } from '@hashgraphonline/standards-sdk';
const client = new RegistryBrokerClient({
apiKey: process.env.REGISTRY_BROKER_API_KEY,
network: 'mainnet',
});
const result = await client.search({
q: 'mcp server',
protocols: ['mcp'],
type: 'mcp-servers',
sortBy: 'trust-score',
limit: 12,
});
console.log(result.hits.map((hit) => hit.uaid));GET /registry/api/v1/search?protocols=mcp&type=mcp-servers&limit=12&sortBy=trust-scoreResults are pre-filtered through Registry Broker search for this hub.
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