Model Context Protocol

Let Claude talk to your
enterprise systems

MCP is the open protocol that connects AI to your real business data. Instead of building custom integrations for every system, you build once — and Claude can query SAP, Salesforce and more in plain English.

✓ Open standard, originated by Anthropic (now under the Linux Foundation)✓ Works with any MCP-capable client✓ Auth & controls built in per system

How MCP Works

Each enterprise system gets its own MCP tool server. Claude calls tools, the MCP server routes them through the auth and controls built for each system, your systems return data — and once a tool server exists, every use case and every MCP-aware client can reuse it.

👤

User

Natural language

▶
✦

Claude

AI reasoning layer

▶
⬡

MCP Server

Tool orchestration

💼

SAP

Finance / ERP

👥

Workday

HR / Workforce

☁

Salesforce

CRM / Pipeline

🔧

ServiceNow

IT / Ticketing

MCP protocol
live data flow

Live Demo

Claude is connected to mock SAP, Workday, and Salesforce instances. Ask it anything — watch it call the right system automatically.

● mock data
claude + mcp-server → enterprise
3 systems connected
● SAP● Workday● Salesforce
I'm connected to your enterprise systems via MCP. Ask me anything about your SAP invoices, Workday employees, or Salesforce pipeline.

Before & After

Traditional enterprise integrations require custom code per system. MCP standardizes the interface layer — Tioga still builds the authentication, business rules, controls and error handling underneath it for each system.

✗ Before MCP

Query data

Write SQL / ABAP / SOQL

Integration

Custom API per system

Updates

Re-engineer on API change

Access control

Manage per-system tokens

New systems

Weeks of integration work

Audit trail

Scattered across systems

✓ After MCP

Query data

Ask in plain English

Integration

One MCP server

Updates

Update tool definition

Access control

Centralized MCP auth

New systems

Add a tool, deploy

Audit trail

Single MCP log

What I Build

Tioga AI builds and maintains your MCP servers. Here's what my connectors look like — each tool is a typed function Claude can call by name.

# Tioga AI MCP Server — SAP connector
@mcp.tool()
async def get_pending_invoices(
vendor: str = None,
min_amount: float = None
) -> list[Invoice]:
"""Fetch pending invoices from SAP"""
return await sap_client.query(
module="FI",
filters={"STATUS": "PENDING",
"VENDOR": vendor,
"AMOUNT_GTE": min_amount}
)
# Claude can now call this naturally:
# "Show me all pending invoices over $10k from CloudStack"

< 2 weeks

to first MCP integration

3

example connector tools in the live demo (SAP, Workday, Salesforce), on mock data

Reusable

tools cut duplicate integration work per use case

See exactly what's shipped, in order — Build Log →

Ready to connect your enterprise?

I'll scope your integration in a 5-day discovery sprint and aim to have a first MCP connector running against your sandbox within about two weeks of access.

Start a Discovery Sprint

$5,000 flat · 5 days · prototype included