CiteOps
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MCP Endpoint

Enterprise · Waitlist

Stop waiting to be crawled. Let AI agents query your live data directly.

The Model Context Protocol (MCP) is how the next generation of AI agents reads data in real time. CiteOps spins up a managed MCP endpoint for your domain — so when a user asks ChatGPT about your pricing, your live data answers, not a stale crawl from three months ago.

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What is MCP?

The Model Context Protocol (MCP) is an open standard from Anthropic (Claude's creator) that lets AI agents connect to external data sources in real time. Instead of relying on training data or periodic crawls, an AI agent with MCP access can query your server directly — on demand, with the exact context of the user's question.

⟳

Always current

Prices, inventory, and docs update the moment you change them — not days later when a crawler passes.

◎

Query-aware

Your endpoint responds to what's being asked, not a full-page dump. Relevant data, precise citations.

✦

Zero hallucination

When the AI has live data, it doesn't need to fill gaps with interpolation. Accurate citations, every time.

Why crawling is no longer enough

Static files get crawled once

llms.txt and HTML are indexed periodically. Price changes, new products, or policy updates won't reflect until the next crawl.

No context about the query

A crawler doesn't know what a user is asking. It ingests everything. An MCP endpoint responds to the specific question — with relevant, current data.

AI hallucination fills the gaps

When crawled data is stale or incomplete, models interpolate. That means wrong prices, discontinued products, and false claims attributed to your brand.

Real-time citation scenarios

SaaS pricing agent

User: "What does Acme cost for a team of 50?"

AI queries your MCP endpoint → returns live tier pricing → cites you accurately instead of guessing

E-commerce inventory

User: "Is the Pro model in stock?"

AI queries your MCP endpoint → returns live inventory → gives accurate availability without hallucinating

Professional services scope

User: "What does Vault Legal charge for contract review?"

AI queries your MCP endpoint → returns current rate card → no more outdated rate sheets being cited

What CiteOps MCP serves

Live pricing — always current, never cached
Product inventory and availability
Documentation and knowledge base content
Comparison tables and alternative analysis
Company facts, team data, and about content
Custom data schemas per vertical

Technical details

Protocol: MCP over HTTPS (Anthropic open spec)

Latency: <200ms p95 from any region

Auth: API key per endpoint, IP allowlist optional

Updates: Push or webhook — changes reflect in <60s

Compatible with: Claude, GPT-4o (function calling), Gemini 1.5+

What it looks like

A simplified view of how an MCP-enabled AI agent queries your endpoint

// AI agent (Claude / GPT-4o) resolves a buyer question
const result = await mcp.call("citeops-acme.endpoint", {
  tool: "get_pricing",
  args: { plan: "team", seats: 50 }
});
// → { plan: "Growth", price_monthly: 299, per_seat: false, ... }
// AI cites: "Acme's Growth plan is $299/month for up to 50 seats (live data, May 2026)"
// vs. crawl-based citation (stale, no context):
// "Acme costs around $250-350/month"
// [source: cached HTML from Q3 2025 — price changed twice since then]

Pricing

Full AI Citation Report

$299one-time

30–50 prompt tests, competitor map, fix roadmap, downloadable fix files. No MCP endpoint.

Get full report →
Includes MCP

Agency Terminal

$2,000/month

Live MCP endpoint, SoS tracking, white-label, 100 domain activations, dedicated support.

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MCP Endpoint — Waitlist

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