Sold by: GenpactÂ
Deployed on AWS
Kinaxis MCP Server enables AI agents to integrate with Kinaxis supply chain systems through OAuth-secured Model Context Protocol, offering Supply Chain Planning as a Service for manufacturing, consumer goods, and retail industries with flexible hosted or self-deployed AWS options.
Overview
The Kinaxis MCP Server is a cutting-edge integration solution that bridges the gap between AI agents and Kinaxis supply chain management systems using the Model Context Protocol (MCP). This server provides AI-powered applications with standardized access to Kinaxis RapidResponse capabilities, enabling intelligent automation of supply chain planning, demand forecasting, and inventory optimization processes specifically designed for manufacturing, consumer goods, and retail industries. Built for enterprise-grade deployments with OAuth 2.0 authentication, this MCP server leverages Kinaxis APIs to deliver real-time supply chain data and planning capabilities directly to AI agents. Organizations can now harness the power of AI-driven decision-making across their entire supply chain network, from strategic planning to last-mile delivery optimization. The solution supports advanced use cases including concurrent planning, scenario simulation, demand sensing, and supply chain risk management, providing Supply Chain Planning as a Service (SCPaaS) capabilities that scale with business needs. Available in both fully-managed hosted deployment and self-deployed options on AWS infrastructure, the server implements the open-source Model Context Protocol standard, ensuring compatibility with leading AI platforms. This standardized approach eliminates the need for custom integrations while providing automatic capability discovery, two-way communication, and robust OAuth-based security features. Organizations can accelerate their AI transformation initiatives while maintaining data security and governance standards required for enterprise supply chain operations across manufacturing plants, distribution centers, and retail networks.
Highlights
- Supply Chain Planning as a Service for Manufacturing & Retail: Purpose-built for manufacturing, consumer goods, and retail industries, enabling scalable AI-driven planning, demand sensing, and inventory optimization across production facilities and distribution networks
- Standardized AI Agent Integration: Built on the Model Context Protocol standard with OAuth 2.0 security, ensuring seamless compatibility with leading AI platforms without custom development
- Enterprise-Grade OAuth Security & Flexible Deployment: Delivers secure OAuth 2.0 authenticated API access to Kinaxis RapidResponse with both fully-managed hosted and self-deployed AWS options for mission-critical supply chain operations
Details
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Type
Supported services
Delivery option
Genpact Kinaxis MCP Server v1.0.0
Latest version
Operating system
Linux
Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Vendor refund policy
This is a contract-based subscription service with no free trial or refund options available. All charges are final upon agreement execution. Customers may cancel their subscription at any time to prevent future billing cycles, but no refunds will be issued for completed billing periods. Usage-based charges are non-refundable. For more details please contact - susan.aroyan@genpact.comÂ
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Delivery details
Genpact Kinaxis MCP Server v1.0.0
Supported services: Learn moreÂ
- Amazon Bedrock AgentCore - Preview
Container image
Containers are lightweight, portable execution environments that wrap server application software in a filesystem that includes everything it needs to run. Container applications run on supported container runtimes and orchestration services, such as Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). Both eliminate the need for you to install and operate your own container orchestration software by managing and scheduling containers on a scalable cluster of virtual machines.
Version release notes
Kinaxis MCP Server - Release Notes v1.0.0
We're excited to announce version 1.0.0 of the Kinaxis MCP Server, now available as a production-ready Docker image on AWS Marketplace. This release provides seamless integration between Kinaxis RapidResponse and Model Context Protocol (MCP) compatible tools, including Claude and other AI assistants.
What's New in v1.0.0
Production-Ready Release
- Enhanced Authentication: Improved license validation system for secure deployments
- Optimized Performance: Streamlined Docker container with better resource utilization
- Simplified Deployment: Ready-to-use container image with comprehensive configuration options
- Enterprise Support: Enhanced logging and monitoring capabilities
Deployment & Distribution
- AWS Marketplace Availability: Pre-built Docker image for immediate deployment
- Health Monitoring: Built-in health checks and status endpoints
Key Features
AWS Marketplace Distribution
- Pre-built Docker image available for immediate deployment
- Bring Your Own License (BYOL) subscription model
- Scalable containerized architecture for enterprise environments
Comprehensive Data Access
- Direct workbook data retrieval through Kinaxis REST API
- Multi-scenario support for comparative analysis
- Targeted worksheet data extraction
Enterprise-Ready Design
- Full MCP Protocol compliance
- Type-safe parameter validation
- Comprehensive error handling
Available Tools
retrieve_workbook_data - Primary tool for accessing Kinaxis workbook data with scenario selection, workbook targeting, site group filtering, and advanced parameter customization.
ping - System connectivity verification tool for testing MCP server responsiveness.
health - Health check tool for monitoring server status and operational readiness.
Technical Specifications
- Deployment: Docker container via AWS Marketplace
- Requirements: Valid Kinaxis license and deployment credentials
- Formats: Raw/Worksheet data output, JSON integration
- Compatibility: Kinaxis REST API v1, MCP specification compliant
- License Model: Single subscription tier with access to all MCP tools
Target Audience
Designed for supply chain analysts, data engineers, business intelligence professionals, and AI/ML practitioners working with supply chain data in enterprise environments.
Additional details
Usage instructions
Usage Instructions
Prerequisites
- AWS account with ability to subscribe to AWS Marketplace
- Valid Kinaxis license and credentials
Step 1: Create AWS Bedrock AgentCore
Create an agent/MCP server. This command creates a new agent runtime for the Kinaxis MCP server. Ensure you replace placeholders appropriately with your actual values. Environment variabes for KINAXIS_CLIENT_ID, KINAXIS_CLIENT_SECRET & KINAXIS_BASE_URL need to be provided by consumer based on their agreement with Kinaxis.
aws bedrock-agentcore-control create-agent-runtime \ --region us-east-1 \ --agent-runtime-name "KinaxisMCP" \ --description "Kinaxis MCP server" --agent-runtime-artifact '{ "containerConfiguration": { "containerUri": <your-aws-marketplace-subscribed-ecr-image-uri>" } }' \ --role-arn "your-amazonbedrock-agentcore-runtime-default-service-role-arn" \ --network-configuration '{ "networkMode": "PUBLIC" }' \ --protocol-configuration '{ "serverProtocol": "MCP" }' \ --environment-variables '{"KINAXIS_CLIENT_ID": "***", "KINAXIS_CLIENT_SECRET": "***", "KINAXIS_BASE_URL": "***"}'Step 2: List AWS Bedrock AgentCore
Use this command to retrieve details about the created agent runtime. Replace '{your agentRuntimeId in the output of create command}' with the actual ID from the previous step.
aws bedrock-agentcore-control get-agent-runtime \ --agent-runtime-id {your agentRuntimeId in the output of create command} \ --region us-east-1Step 3: List Agent Runtime Endpoints
This command lists the endpoints associated with your agent runtime. Replace '{your agentRuntimeId in the output of create command}' with the actual ID.
aws bedrock-agentcore-control list-agent-runtime-endpoints \ --agent-runtime-id {your agentRuntimeId in the output of create command} \ --region us-east-1Step 4: Invoke Agent Runtime
This command invokes the agent runtime to perform an action, e.g., listing tools. Replace '{your agentRuntimeArn in the output of create command}' with the actual ARN.
Create Payload:
export PAYLOAD_JSON='{"jsonrpc": "2.0", "id": 2, "method": "tools/call", "params": { "name": "retrieve_workbook_data", "arguments": {"scenario": {"name": "YOUR_SCENARIO", "scope": "Public"},"workbook_parameters": {"workbook": {"name": "YOUR_WORKBOOK", "scope": Public"}, "site_group": "YOUR_SITE_GROUP", "worksheet_names": ["YOUR_WORKSHEET"]},"x_license_key":"provide-private-key"}}}' export PAYLOAD_BASE64=$(echo -n "$PAYLOAD_JSON" | base64) export AGENT_ARN=your agentRuntimeArn in the output of create commandInvoke Bedrock-AgentCore Runtime:
aws bedrock-agentcore invoke-agent-runtime \ --agent-runtime-arn "${AGENT_ARN}" \ --payload="${PAYLOAD_BASE64}" \ --content-type "application/json" \ --accept "application/json, text/event-stream" \ --qualifier "DEFAULT" \ --region us-east-1 \ output.jsonSupport
Vendor support
Contact us: Susan Aroyan, susan.aroyan@genpact.comÂ
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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