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OpenAPI Spec Skeleton Generator for ERP Endpoints

Most ERP integrations start with a spec nobody wrote. This generator gives you a valid OpenAPI 3.0 skeleton for one resource, with list and get operations, cursor paging, standard error responses and a schema, ready to refine.

Fill in

API title

API version

Server URL

Resource path (plural)

Schema name

Id field

Status enum (comma separated)

Generated code

Download:

openapi.yaml

openapi: 3.0.3
info:
  title: Plant ERP Orders API
  version: 1.0.0
  description: Read-only access to sales-orders for reporting and AI agent tools.
servers:
  - url: https://erp.example.com/api/v1
security:
  - bearerAuth: []
paths:
  /sales-orders:
    get:
      operationId: listSalesOrder
      summary: List sales-orders
      parameters:
        - name: status
          in: query
          schema:
            type: string
            enum: [open, shipped, closed, cancelled]
        - name: limit
          in: query
          schema:
            type: integer
            minimum: 1
            maximum: 100
            default: 25
        - name: cursor
          in: query
          schema:
            type: string
      responses:
        "200":
          description: A page of records
          content:
            application/json:
              schema:
                type: object
                properties:
                  items:
                    type: array
                    items:
                      $ref: "#/components/schemas/SalesOrder"
                  nextCursor:
                    type: string
                    nullable: true
        "401":
          description: Missing or invalid token
        "429":
          description: Rate limit exceeded
  /sales-orders/{id}:
    get:
      operationId: getSalesOrder
      summary: Get one record
      parameters:
        - name: id
          in: path
          required: true
          schema:
            type: string
      responses:
        "200":
          description: The record
          content:
            application/json:
              schema:
                $ref: "#/components/schemas/SalesOrder"
        "404":
          description: Not found
components:
  securitySchemes:
    bearerAuth:
      type: http
      scheme: bearer
  schemas:
    SalesOrder:
      type: object
      required: [orderNumber, status]
      properties:
        orderNumber:
          type: string
        status:
          type: string
          enum: [open, shipped, closed, cancelled]
        customerId:
          type: string
        orderDate:
          type: string
          format: date
        promiseDate:
          type: string
          format: date
        totalAmount:
          type: number
        currency:
          type: string
          example: USD

This is a skeleton, not a mapping of your ERP. Rename fields to match your real entity (for example a D365 data entity, a Business Central API v2.0 page or a NetSuite record) and remove what you do not expose. Validate the result in any OpenAPI linter before publishing.

Turn my ERP API into agent tools

Optional: we can map your spec to MCP tools with roles and limits.

Optional. The tool and every export work without this. No spam.

How to use it

Choose a plural resource path, the schema name, the id field and the allowed status values. The output includes a list endpoint with a status filter and capped page size, a get-by-id endpoint, bearer authentication, and a schema. Paste it into an editor, rename the fields to the ERP entity you actually expose, and run a linter. The same file can drive a client generator, a mock server, or tool definitions for an AI agent.

Keep list endpoints paged with a hard maximum
Document 401, 404 and 429 responses
Use enums for statuses so agents cannot guess values

Why a spec matters for AI agents

Agents call tools well when the contract is unambiguous. An OpenAPI file gives each operation an operationId, typed parameters and documented responses, which maps cleanly to function or MCP tool definitions. Without it, developers hand-write schemas that drift from the real API. Read-only specs are the safest starting point because they let you grant an agent visibility before you consider any write operations.

Reading and extending the output

The paging uses a cursor and a nextCursor field, which is more stable than offset paging when ERP rows change during a scan. The schema marks only id and status as required, since ERP records often have sparse optional data. Add line items as a nested array or as a second resource such as sales-order-lines, depending on how large lines get and how your ERP exposes them.

Common mistakes

Teams often expose raw table names, return unbounded lists, leave out error codes, mix camelCase and snake_case, or describe write endpoints that the service account cannot call. Decide naming rules once, version the path, and keep the spec in source control beside the code so changes are reviewed.

Frequently Asked Questions

Which OpenAPI version does this use?

It uses OpenAPI 3.0.3, which is supported by nearly every editor, linter, mock server and client generator. If you need 3.1, the main changes are nullable handling and JSON Schema alignment.

Can I use this for SAP or Oracle?

Yes as a design starting point for any REST facade. SAP OData services and Oracle REST APIs have their own metadata, so map your fields to those entities rather than copying this schema as is.

Why cursor paging rather than offset?

ERP data changes while a client pages through it. Offsets can skip or repeat rows when records are inserted or removed, whereas a cursor tied to a sort key stays consistent.

Does this define write endpoints?

No. It is deliberately read-only. Add POST or PATCH only after you have a permission model, validation and an approval step for anything an AI agent might call.

Netray builds and secures ERP APIs and the AI tools on top of them. If you want a second pair of eyes on your spec, ask for a review.

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