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Kinaxis

Kinaxis is a concurrent supply chain planning platform — branded Maestro (formerly RapidResponse) — that provides REST APIs for supply chain orchestration, scenario modeling, demand sensing, and supply planning across global manufacturing and distribution networks. The platform offers an AI-infused intelligence engine, digital twin simulation, and a Developer Studio for building custom applications and algorithms on top of the supply chain data fabric.

3 APIs 0 Features
Supply ChainSupply Chain PlanningDemand SensingScenario ModelingSupply PlanningInventory OptimizationS&OPControl TowerEnterprise SoftwareAI

APIs

Kinaxis RapidResponse REST API

REST-based interface exposing the Kinaxis Maestro (RapidResponse) supply chain planning platform for data integration, process orchestration, and insight embedding. Enables read...

Kinaxis Developer Studio

A low-code and code-first development environment embedded in the Kinaxis Maestro platform that enables building custom supply chain applications, algorithms, data models, integ...

Kinaxis MCP Server

A production-ready Model Context Protocol (MCP) server that provides AI agents and LLM-powered applications with standardized OAuth 2.0-secured access to Kinaxis Maestro supply ...

Resources

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Website
Website
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Documentation
Documentation
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GitHubOrg
GitHubOrg
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LinkedIn
LinkedIn
📰
Blog
Blog
💰
Pricing
Pricing
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X
X
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Plans
Plans
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RateLimits
RateLimits
🔗
FinOps
FinOps

Sources

apis.yml Raw ↑
aid: kinaxis
name: Kinaxis
description: Kinaxis is a concurrent supply chain planning platform — branded Maestro (formerly RapidResponse) — that provides REST APIs for supply chain orchestration, scenario modeling, demand sensing, and supply planning across global manufacturing and distribution networks. The platform offers an AI-infused intelligence engine, digital twin simulation, and a Developer Studio for building custom applications and algorithms on top of the supply chain data fabric.
image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
url: https://raw.githubusercontent.com/api-evangelist/kinaxis/refs/heads/main/apis.yml
created: 2026-06-13
modified: 2026-06-13
specificationVersion: "0.19"
tags:
  - Supply Chain
  - Supply Chain Planning
  - Demand Sensing
  - Scenario Modeling
  - Supply Planning
  - Inventory Optimization
  - S&OP
  - Control Tower
  - Enterprise Software
  - AI
apis:
  - aid: kinaxis:rapidresponse-rest-api
    name: Kinaxis RapidResponse REST API
    description: REST-based interface exposing the Kinaxis Maestro (RapidResponse) supply chain planning platform for data integration, process orchestration, and insight embedding. Enables reading and writing planning data, triggering what-if scenarios, synchronizing master and transactional data, running demand sensing and supply planning workflows, and embedding analytics into external applications. Secured with OAuth 2.0 and governed by RapidResponse role-based permissions.
    image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://knowledge.kinaxis.com/s/
    baseURL: https://rapidresponse.kinaxis.com/
    tags:
      - Supply Chain
      - Supply Planning
      - Demand Sensing
      - Scenario Modeling
      - REST API
    properties:
      - type: Documentation
        url: https://knowledge.kinaxis.com/s/
      - type: Authentication
        url: https://knowledge.kinaxis.com/s/
  - aid: kinaxis:developer-studio
    name: Kinaxis Developer Studio
    description: A low-code and code-first development environment embedded in the Kinaxis Maestro platform that enables building custom supply chain applications, algorithms, data models, integration jobs, visualizations, and reports. Supports Python-based algorithms and machine learning integration via API, and allows developers to certify and license custom Maestro applications through the Kinaxis Application Developer Program.
    image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://www.kinaxis.com/en/developer-studio
    baseURL: https://rapidresponse.kinaxis.com/
    tags:
      - Developer Studio
      - Low-Code
      - Custom Applications
      - Supply Chain
      - Machine Learning
    properties:
      - type: Documentation
        url: https://www.kinaxis.com/en/developer-studio
      - type: GettingStarted
        url: https://knowledge.kinaxis.com/s/
  - aid: kinaxis:mcp-server
    name: Kinaxis MCP Server
    description: A production-ready Model Context Protocol (MCP) server that provides AI agents and LLM-powered applications with standardized OAuth 2.0-secured access to Kinaxis Maestro supply chain planning data and capabilities. Available on AWS Marketplace under a BYOL subscription model. Exposes workbook data retrieval, scenario simulation, demand forecasting, and inventory optimization functions for integration with Amazon Bedrock, Okta, Azure Entra ID, and other AI agent platforms.
    image: https://kinlane-productions.s3.amazonaws.com/apis-json/apis-json-logo.jpg
    humanURL: https://aws.amazon.com/marketplace/pp/prodview-4osobep6cx3yc
    baseURL: https://rapidresponse.kinaxis.com/
    tags:
      - MCP
      - AI Agents
      - Supply Chain
      - AWS Marketplace
      - OAuth 2.0
    properties:
      - type: Documentation
        url: https://aws.amazon.com/marketplace/pp/prodview-4osobep6cx3yc
      - type: AWSMarketplace
        url: https://aws.amazon.com/marketplace/pp/prodview-4osobep6cx3yc
common:
  - type: Website
    url: https://www.kinaxis.com/en
  - type: Documentation
    url: https://knowledge.kinaxis.com/s/
  - type: GitHubOrg
    url: https://github.com/Kinaxis
  - type: LinkedIn
    url: https://www.linkedin.com/company/kinaxis
  - type: Blog
    url: https://www.kinaxis.com/en/blog/main
  - type: Pricing
    url: https://www.kinaxis.com/en/contact-us
  - type: X
    url: https://x.com/kinaxis
  - type: Plans
    url: plans/kinaxis-plans-pricing.yml
  - type: RateLimits
    url: rate-limits/kinaxis-rate-limits.yml
  - type: FinOps
    url: finops/kinaxis-finops.yml
maintainers:
  - FN: Kin Lane
    email: [email protected]