OES-MCP GATEWAY

Connect any AI model to SAP, Salesforce, Microsoft Dynamics 365 Business Central, and more through a single governed OES-MCP gateway with canonical business objects. Your agent speaks business language from day one.

Open Standard (AAIF / Linux Foundation)

On-premise agent

A2A-Ready Architecture

Shared Business Vocabulary

The MCP Server Challenge

Standard MCP servers speak system dialect, not business

Every MCP server you connect teaches your AI agent a different language. SAP calls it “BusinessPartner.” Salesforce calls it “Account.” Shopify calls it “customer.” Your agent re-learns the schema of every system, every time.

The result: fragile integrations, hallucinated field mappings, and AI agents that can read data but can’t safely write it back. MCP gave you the protocol. What’s missing is the vocabulary.

One server per system

Each connector re-invents Customer, Order, and Product. Your agent learns SAP-ese, then Salesforce-ese, then Shopify-ese. Nothing compounds.

No write safety

Standard MCP gives read access. Writing a Sales Order back to SAP requires localization rules, tax logic, and validation that a standard connector doesn’t encode.

No governance

Most MCP servers have no auth, no audit trail, no policy controls. Enterprise security teams won’t approve ungoverned AI-to-ERP access.

Why This MCP Server Is Different

Your agent speaks business, not API

Most MCP servers give your AI agent a direct connection to one system at a time. OneEnterprise gives it a shared business vocabulary across every system, so Customer means Customer, regardless of where the data lives.

SHARED OBJECT MODEL

One vocabulary, every system

SAP calls it “BusinessPartner.” Salesforce calls it “Account.” Shopify calls it “customer.” Other MCP servers give your agent per-connector context (one schema at a time). OES-MCP gives it one canonical model that spans all systems. Business Connectors handle the translation, and the gateway serves it to your AI.

WRITE SAFETY

Safe to write, not just read

Creating a Sales Order in SAP requires localization rules, tax logic, and field validation. Pre-built Business Connectors encode those rules, so your agent writes safely without knowing SAP’s schema.

GOVERNED FROM DAY ONE

Governed from day one

Auth, audit trail, and policy controls on every AI action. The On-Premise Agent tunnels to SAP behind your firewall without opening inbound ports. Enterprise security teams can say yes.

How it works

1

Connect

Point the MCP Gateway at your systems. Pre-built Business Connectors for SAP B1, Salesforce, D365 BC, Shopify, and more.

2

Translate

Business Connectors map each system’s native schema to shared business objects. “BusinessPartner” and “Account” both become “Customer.” The gateway serves them to your AI.

3

Query

Your AI agent calls one MCP endpoint. Read Customer, write Order, sync Inventory, in business language, across any connected system.

4

Govern

Every action passes through identity, policy, and audit controls. The On-Premise Agent keeps ERP data behind your firewall.

What You Can Build

Six things your AI agent couldn’t do before

Cross-system customer lookup

Ask your agent “Show me everything about Acme Corp” and get a unified view across SAP, Salesforce, and Shopify: One query, one canonical Customer object.

AI-driven order creation

Your agent creates a Sales Order in SAP using a standard Order object. Business Connectors encode the localization rules, tax logic, and validation, so the agent doesn’t need to know SAP’s schema.

Real-time inventory sync

Sync stock levels between Shopify, SAP, and your warehouse system. When a sale happens in commerce, inventory updates everywhere through one governed OES-MCP connection.

Invoice reconciliation

Your finance agent matches invoices across ERP and accounting systems using canonical Invoice objects. No manual CSV exports, no field mapping spreadsheets.

Conversational data queries

“What’s our top-selling product in Germany this quarter?” Your agent queries across SAP, Shopify, and Salesforce in business language and returns consolidated answers.

Governed multi-agent workflows

Multiple AI agents, e.g., sales, fulfilment, finance, collaborate through one governed gateway. Each agent reads and writes shared business objects with identity, policy, and audit on every action.

Enterprise-Grade Security

Built for teams that can’t compromise

Identity & access control

Every agent action tied to a user identity. Role-based permissions determine what each agent can read, write, and execute.

Full audit trail

Every read, write, and query logged with timestamp, user, agent, and payload. Compliance-ready from day one.

On-Premise Agent

ERP data stays behind your firewall. The On-Premise Agent tunnels securely without opening inbound ports. No VPN required.

Open standard (AAIF)

MCP is governed by the Agentic AI Foundation under the Linux Foundation. No proprietary lock-in. Your investment is protected by an open protocol.

Side-by-Side

OES-MCP vs. standard MCP servers

Capability Standard MCP Servers OES-MCP Gateway
Cross-system object model Standard MCP ServersPer-connector context. Each system has its own schema OES-MCP GatewayOne canonical model spans all connected systems
Cross-system queries Standard MCP ServersAgent queries each system separately, maps results manually OES-MCP GatewayOne query resolves across systems. Same object everywhere
Write safety Standard MCP ServersNo localization, tax, or validation rules OES-MCP GatewayBusiness Connectors encode domain rules
Auth, audit, policy Standard MCP ServersNo built-in governance OES-MCP GatewayIdentity, authz, audit trail on every action
On-premise access Standard MCP ServersRequires inbound ports or VPN OES-MCP GatewayOn-Premise Agent tunnels without inbound ports
Knowledge compounds Standard MCP ServersEach deployment starts from zero OES-MCP GatewayOE Swarm shares canonical knowledge

Your AI agent deserves business language

One MCP server. Every enterprise system. Governed.

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