§00About
Integration shouldn’t
be a project.
PartnerMCP is building an AI Integration Engineer. You describe what should connect and what should happen. It discovers the systems, maps the data, then builds, tests, deploys and operates the integration — under your control.
PartnerMCP at a glance
- Stage
- Early access
- Category
- AI Integration Engineer
- Connects
- ERP, CRM, finance, commerce, data and internal software
- Works through
- MCPRESTODataGraphQLSOAPSQLEventsSFTP
- Reaches
- Cloud APIs, and systems behind your firewall through an outbound-only Edge Agent (architecture concept)
Every company has dozens of systems. PartnerMCP makes them work like one.
Each connection between them has been a project: specifications, consultants on both sides, developers, testing — then a change request a month later. PartnerMCP turns the project into a conversation.
Intelligence at design time. Determinism at runtime.
PartnerMCP’s intelligence reads the systems, plans the integration, maps the data, tests it and diagnoses failures. What runs in production is the integration you reviewed — versioned, observable and reversible.
When something needs to change, you say so. PartnerMCP proposes the change, proves it in a sandbox and applies it within your policy.
01You say
“When a deal closes in Salesforce, create the customer and the sales order in Priority.”
02PartnerMCP plans
- on
- Opportunity · IsWon = true
- match
- Account ↔ CUSTOMERS · key CUSTNAME
- map
- Account.Name → CUSTOMERS.CUSTDES
- create
- ORDERS + ORDERITEMS_SUBFORM
- verify
- 12 sandbox tests · your approval
03What runs
SalesforcePriority ERP Productionv1 · versioned · reversible
Example: a person asks for deals closed in Salesforce to create the customer and sales order in Priority ERP. PartnerMCP plans the trigger, the customer match, the field mapping and the order creation, tests it in a sandbox, and after approval it runs in production as version 1.
Three things changed.
- 01
Systems multiplied.
ERP, CRM, commerce, billing, support, data warehouses, internal tools. Every system a company adds multiplies the connections it needs — and each connection has been a project of its own.
10 systems → 45 possible connections
- 02
Systems describe themselves.
Modern platforms publish machine-readable schemas — OpenAPI, OData metadata, GraphQL — and a growing number of vendors offer MCP servers next to their APIs. A system can be read before a line is written.
OpenAPI · $metadata · GraphQL · WSDL · MCP
- 03
Intelligence can work under control.
Software can now plan an integration, map the data, test it and diagnose failures. Put to work at design time and bounded by policy at runtime, it replaces the project — not the oversight.
design time: intelligence · runtime: determinism
MCP, the Model Context Protocol, is an open standard, now hosted by the Agentic AI Foundation under the Linux Foundation. PartnerMCP uses it where a system offers it — and REST, OData, GraphQL, SOAP, SQL, events or files where those are the safer path.
Four principles we build by.
- 01
Intent over configuration.
You say what should happen, in your own words. PartnerMCP turns it into a plan you can read and question before anything is built. No canvas, no boxes and arrows.
- 02
Control over autonomy.
PartnerMCP proposes; your policies decide. Production runs the integration you approved, not an agent improvising against your ERP — and sensitive changes wait for a person.
- 03
Systems as they really are.
Custom fields, legacy interfaces, rate limits, servers behind the firewall. PartnerMCP works through each vendor’s supported interfaces, respects their limits, and reaches on-premise systems without opening inbound ports.
- 04
Integrators as partners.
The enemy is complexity, not the people who have been managing it. PartnerMCP takes on the repetitive integration work, so an integrator’s expertise goes where it matters.
§04Early access
See it on your systems.
Everything on this site that looks like product runs on sample data. We’d rather show you PartnerMCP on your own systems.