Make your product agent-callable

MCP (Model Context Protocol) is how ChatGPT, Claude, Gemini, Perplexity and Copilot invoke tools on the web. The Builder scaffolds your server, wires OAuth 2.1, defines tools/resources/prompts, and grades it on every publish.

OAuth 2.1

With Dynamic Client Registration out of the box

Primitives: Tools, Resources, Prompts

Live

Invocation telemetry + error tracking

Graded

AIAO readiness audit on every publish

What you get

Scaffolded tools

Describe what your product does — the Builder generates typed tool definitions, JSON schemas and handlers.

OAuth 2.1 + DCR

Standards-compliant auth so ChatGPT, Claude and Perplexity clients can register and connect without hand-holding.

Audited on publish

Every publish runs the MCP readiness rubric — manifest, schemas, error hygiene, doc quality — and shows a grade.

How it works

01 · Scaffold
Describe your product
The Builder turns your description into an MCP server draft with tools, resources and prompts.
02 · Wire auth
Pick an auth mode
None, API key, bearer, or full OAuth 2.1 with DCR — configured with a click.
03 · Publish + audit
Ship and grade
Publish to a stable slug. Every publish re-runs the readiness audit and stores the grade.
04 · Watch invocations
See real agent traffic
Every tool call is logged with latency, status and error — so you can debug what agents actually do.

Learn the concepts

You don't have to be an agent-optimization expert to use this. Here's the short version.

What is MCP, in one paragraph

MCP is a small, open protocol that lets an LLM discover and call tools on the internet. Instead of scraping your site, an agent asks your MCP server 'what can you do?', reads a schema, and invokes the right tool with typed arguments.

Why you should ship one

Agents prefer callable surfaces to scraped pages. An MCP server lets ChatGPT book, search, quote, or purchase on your behalf — turning AI visibility into AI referrals and handoffs.

Direct invocation from the top consumer agents.
Deterministic, typed tool calls — no prompt-injection guesswork.
Full telemetry, so you can measure what agents did.

What the audit checks

The MCP readiness rubric grades manifest completeness, tool description quality, schema strictness, error surfaces, auth hygiene, and doc quality — the exact things agent clients look at when deciding whether to keep using your server.

Frequently asked

Do I need to write TypeScript?

No. The Builder generates the server for you. If you want to self-host, you can export the source and deploy it anywhere Node runs.

Which agents can call my server?

Any MCP-compatible client — today that includes ChatGPT, Claude, Perplexity, Cursor, Zed and a growing list. Your OAuth registration works for all of them.

Is this different from an API?

Yes. An API is a passive endpoint. An MCP server ships descriptions, schemas and auth in a shape agents can read at runtime — so they don't need a human integrator.

Ready to put this to work?

Create a free account — explore every mode, then subscribe to start your trial. Or book a guided walkthrough.

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