As hundreds of developers head to New York for MCP Dev Summit North America (April 2–3, 2026), the ecosystem is still wrestling with a core problem: how do AI agents reliably discover and connect to the right MCP servers and tools?
With the MCP Dev Summit North America just days away in New York City, the MCP community is buzzing. Over 95 sessions, multiple tracks covering Apps & Agents, Protocol in Depth, Security & Operations, and real-world production stories — it’s clear the Model Context Protocol has moved far beyond early experiments.
Yet one foundational piece still feels underdeveloped: discovery.
The Discovery Gap in the MCP Ecosystem
The official MCP Registry launched in preview last year and provides a solid starting point — a catalog and API for publishing and listing public MCP servers. GitHub has its own registry integration, companies like Kong, Azure, and others are building enterprise directories, and tools like Glama.ai or Smithery layer nicer interfaces on top.
But as adoption explodes (tens of thousands of MCP servers and massive SDK download numbers), several pain points keep surfacing in discussions:
- Dynamic, agent-native discovery — How does an AI agent semantically search for the best tool for a task without hard-coded URLs?
- Enterprise governance — Teams need private or filtered registries with proper access controls, versioning, trust signals, and observability.
- Scalable orchestration — When agents need to discover, evaluate, and connect to dozens or hundreds of MCP servers at runtime.
- User-friendly directories — Developers still rely on scattered GitHub repos, community lists, or manual configuration in many clients.
Sessions at the summit on scaling MCP, secure orchestration, and context engineering will almost certainly touch on these issues — because they’re blocking broader production use.
Why Discovery Matters More Now
MCP’s strength is its simplicity: a clean protocol for connecting LLMs to tools and data. But that simplicity only shines when agents can find the right MCP server quickly and safely.
Without strong discovery layers, we risk:
- Fragmented experiences where every new project starts with manual server URLs
- Security gaps from unvetted or outdated servers
- Slower agentic workflows that can’t autonomously expand their capabilities
The good news? The community is actively working on solutions — from .well-known/mcp.json endpoints for server metadata to registry aggregators and semantic search layers. The summit is the perfect moment to accelerate those conversations.
A Domain Built for This Exact Need
As the ecosystem matures, having clean, memorable branding for discovery infrastructure will become increasingly valuable.
That’s why I registered MCPdiscovery.ai — a short, descriptive, premium .ai domain that directly signals its purpose: the go-to place for MCP tool and server discovery.
It could power:
- A next-generation public directory with semantic search
- An enterprise-grade registry platform
- A marketplace or aggregator for high-quality MCP servers
- An open-source discovery service or API gateway layer
The name is intuitive for both humans and AI systems, easy to remember, and perfectly aligned with where the protocol is heading.
If you’re attending MCP Dev Summit this week and working on discovery-related tools, registries, gateways, or agent orchestration, I’d love to chat. Whether you’re looking to build something new or exploring options for a strong brand in this space, feel free to reach out.
Let’s Make Discovery a Strength, Not a Friction Point
The MCP Dev Summit is exactly the right venue to push these conversations forward. Between the technical deep-dives, hallway tracks, and Solutions Showcase, there will be no shortage of smart people thinking about how to make agentic AI more reliable and autonomous.
If discovery emerges as a recurring theme (as I expect it will), the ecosystem will need clear, dedicated infrastructure — and strong names to rally around.
Interested in acquiring the domain name, MCPdiscovery.ai? It is available for immediate acquisition on the Atom.com marketplace at MCPdiscovery.ai