Scopio

MCP:
The Universal AI
Connector.

Breaking the Silos Between Data and Intelligence.

The Model Context Protocol (MCP) is the foundational open standard for the 2026 Agentic Economy. It replaces fragmented API calls with a unified, stateful handshake that allows any AI agent — from Claude to Gemini — to securely navigate your business ecosystem.

Live Protocol Version: 1.2.0

Architecture: JSON-RPC 2.0 Over SSE/Stdio
Discovery: Auto-Discovery via .well-known/mcp.json
Auth: OAuth 2.1 / Scopio Trust Tokens

View Implementation Flow

Resources

Direct data access. Think of Resources as "Read-Only Memories" that the AI can browse to understand your inventory, policies, or catalogs.

Tools

Actionable functions. Tools allow AI agents to change state — book a meeting, initiate a checkout, or update a CRM record.

Prompts

Pre-defined workflows. Prompts guide the AI's behavior, ensuring it follows your brand's voice and compliance rules during interaction.

The MCP Manifest Strategy.

To make your business “Agent-First,” you must publish your capabilities in a machine-readable format. Scopio automates the generation of your mcp.json manifest, ensuring 100% compliance with the global Model Context standard.

  • • Sub-150ms handshake latency
  • • Dynamic capability negotiation
  • • State-persistent tool execution
// .well-known/mcp.json
{
  "name": "Scopio Business Node",
  "version": "1.2.0",
  "capabilities": {
    "resources": { "subscribe": true },
    "tools": {
      "get_product_specs": { "description": "Fetch SKU data" },
      "check_stock": { "description": "Verify inventory" }
    }
  }
}

Isolated Execution Environment.

Scopio acts as a Governance Proxy between the Public AI (Gemini/ChatGPT) and your Secure Data. Every MCP tool call is validated against your Scopio Access Policy before it touches your database.

JWT Handshake

Verify machine identity for every single tool call.

Resource Scoping

Restrict AI agents to specific sub-sets of your catalog.

MCP in Action.

How AI Agents consume your business nodes.

1. AI Customer Support

An AI agent browsing your site needs to know if a specific product is in stock. Using the MCP Resource tool, the agent queries your store database directly and confirms availability in real-time.

2. Autonomous Sales Lead

A real estate agent (AI) on a remote platform asks about floor plans and specifications. Scopio's MCP prompt provides the architect's PDF as a machine-readable context.

3. Zero-Click Supply Chain

Your inventory falls below a threshold. An autonomous agent detects this via the MCP monitoring resource and initiates a restock request through your supplier's MCP Tool.

MCP Protocol FAQ.

Does Scopio MCP require a specialized AI model?+

No. MCP is a universal interface. It works with any LLM that supports Function Calling or Tool Use. Scopio's protocol bridge already provides native integration for Claude (Anthropic), Gemini (Google), and ChatGPT (OpenAI).

How does MCP differ from a standard REST API?+

REST APIs are designed for human-written software. MCP is designed for AI cognition. It provides "Self-Describing Context," meaning the AI agent doesn't just get data — it gets instructions on how to use it, the semantic meaning of fields, and the safe boundaries of execution.

Is my data used to train global AI models?+

Absolutely not. All MCP calls via Scopio are transient. We use a Zero-Retention policy. Your private business data is never stored in the model's global weights or used for training.

How long does it take to implement MCP?+

For standard platforms like Shopify or WooCommerce, activation takes under 60 seconds via the Scopio App. For custom enterprise backends, our SDK allows you to map your resources to MCP in hours, not weeks.

Deploy Your
MCP Node.