The problem: AI agents can't find you
Right now, AI agents are trying to interact with your product. Claude is attempting to answer questions about your API. ChatGPT is guessing at your pricing. Cursor is trying to pull your SDK docs into a coding session. Copilot is summarizing your changelog for a developer who asked.
They're all failing.
Your documentation is HTML soup. Your API surface isn't machine-discoverable. Your content is locked behind rendering pipelines that agents can't parse. So they guess, hallucinate, or skip you entirely.
Every time an agent fails to use your product accurately, that's a user who got bad information — or no information at all. And as agent usage accelerates, the volume of these invisible failures is growing fast.
What MCP is
The Model Context Protocol is an open standard that gives AI agents a structured way to discover and call tools on your site. Think of it as an API contract specifically designed for agent interaction.
MCP was introduced by Anthropic and has since gained support from OpenAI, Google, and Microsoft. The SDK sees roughly 97 million monthly downloads. IETF standardization drafts are in progress. This isn't a proposal — it's infrastructure that's already shipping in production agents.
An MCP server exposes a set of tools that agents can discover and invoke. Instead of scraping your HTML and hoping for the best, an agent connects to your MCP server and gets structured, reliable access to your content and capabilities.
What an MCP server gives you
A properly configured MCP server provides three core capabilities:
- Search — Agents query your docs, knowledge base, and content using hybrid search (keyword + semantic). They get ranked, relevant results instead of raw page dumps.
- Page retrieval — Agents request specific pages and receive clean markdown content, stripped of navigation chrome and rendering artifacts. The content is structured for agent consumption.
- Topic indexing — Agents browse your content taxonomy to understand what your product covers. This powers discovery — agents can find relevant content even when they don't know the exact query.
Beyond the core tools, an MCP server gives you discoverability. Agent registries and tool discovery protocols look for MCP servers. Sites with them show up when agents search for tools. Sites without them don't. You also get ARS (Agent Readiness Score) compliance and traffic visibility — you can see which agents are querying your content and what they're searching for.
Why now
MCP adoption is on a steep curve. Claude, ChatGPT, Cursor, Windsurf, and Copilot all support MCP tool discovery. Agent frameworks like LangChain, CrewAI, and AutoGPT integrate MCP clients. Browser extensions and coding assistants use MCP to pull context from external services.
The practical consequence: sites with MCP servers are already showing up in agent tool discovery. Sites without them are invisible. Today this affects developer tools and technical products most directly, but the wave is expanding to any product with documentation, APIs, or structured content.
There's a window here. Early MCP presence means your content gets indexed in agent registries, your tools get discovered by default, and agents learn to route queries to your server. The longer you wait, the more that initial discovery advantage accrues to competitors who moved first.
How Moongaze does it
Setting up an MCP server from scratch means building tool endpoints, content indexing pipelines, search infrastructure, protocol compliance, and hosting. That's weeks of engineering work, and then you maintain it.
Moongaze handles all of it. Here's what the setup looks like:
- Add one CNAME record at your domain registrar pointing
mcp.{your-domain}to our infrastructure - Moongaze crawls your site and indexes your content
- A production MCP server goes live at
mcp.{your-domain}within minutes
No code changes. Your apex domain stays untouched. Agents get a purpose-built surface with hybrid search, page retrieval, topic indexing, automatic content sync, and full MCP protocol compliance.
The Starter plan ($29/mo) gives you hybrid search, core MCP tools, traffic logs, and ARS artifacts. Pro ($49/mo) adds AI reranking for precision search, integration catalog access, weekly auto-sync, and the agent-skills endpoint.
Get started
The web is shifting from human-first to agent-inclusive. Every site that serves structured content to agents gains compounding visibility. Every site that doesn't falls further behind.
Set up your MCP server at moongaze.ai.