Sold by: Code Creator
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Launch a private MCP control center on AWS with secure tool access for AI applications. Deploy the private control point that helps your team connect AI applications to approved tools with separate client tokens, controlled tool access, trusted HTTPS, and a clean AWS foundation for future MCP growth.
This product has charges associated with it for the provision and deployment of the application and AMI support.
Overview
AI Tool Private Control Center with MCP powered by Code Creator gives technical teams a private AWS foundation for connecting AI applications to approved tools.
Move from scattered one off AI tool connections to one controlled HTTPS MCP endpoint in your AWS account. Register compatible MCP tool servers once, then connect approved AI assistants, agents, workflows, developer tools, and custom applications through a consistent private control point.
Create separate client tokens for each AI application and limit every token to only the MCP tools that application is allowed to use. This helps teams introduce AI tool access with clearer separation between clients, controlled permissions, and a repeatable operational foundation.
The server is built on Ubuntu 26.04 with Docker Compose and automatic first boot setup. At launch it creates buyer specific runtime configuration, a trusted HTTPS endpoint, administrator configuration, and a restricted starter token. The included safe readiness tool confirms that the endpoint is working before you connect additional compatible MCP tools.
Administration is performed through secure SSH helper commands. Tool results appear in the connected AI client, agent, workflow, or custom application where users already work. The browser status page confirms server readiness, while the private MCP endpoint requires a valid client token.
Use this product to establish a controlled connection layer for AI agents, internal automation, developer tools, and custom AI applications without building the core server, HTTPS configuration, first boot automation, and restricted access foundation from scratch.
This server is a private control layer for MCP tools. It is not an AI model host, chatbot, or prebuilt collection of third party business tools.
This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance.
Highlights
- Private AWS MCP Control Center Move from scattered AI tool connections to one private HTTPS MCP endpoint inside your AWS account.
- Scoped Client Access Give every AI application its own token and expose only the approved MCP tools for that client.
- Scoped Client Access Give every AI application its own token and expose only the approved MCP tools for that client.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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Pricing
Free trial
Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t3.medium Recommended | $0.04 |
t3.micro | $0.04 |
t2.2xlarge | $0.04 |
t3.large | $0.04 |
t3.2xlarge | $0.04 |
t3.small | $0.04 |
t3.xlarge | $0.04 |
t3.nano | $0.04 |
Dimensions summary
You pay by the hour based on the EC2 instance size you run. The eight options are all instance types, not feature tiers. Each provides the same pre-built application; they differ only in compute capacity. The t3.nano, t3.micro, t3.small, and t3.medium suit lighter workloads. The t3.large, t3.xlarge, t3.2xlarge, and t2.2xlarge offer more compute for heavier use. Your cost scales with the size you choose and the hours you run it. You can switch instance sizes to match your needs, since billing is usage-based.
Top-of-mind questions for buyers
Each dimension bills per hour that the matching EC2 instance runs. One unit equals one instance-hour of that specific type. The instance type sets your compute capacity, such as CPU and memory. Larger types like t3.2xlarge provide more compute; smaller ones like t3.nano provide less.
Software charges apply per hour while the instance runs. A fully stopped instance stops accruing hourly software charges. You may still pay underlying AWS storage fees for attached volumes, but the software meters running time only. Restarting the instance resumes hourly billing.
You pay only for the hours each instance runs, with no upfront commitment. Billing meters actual instance-hours. This suits variable or short-lived workloads, since you can start, stop, and switch instance types to match your needs and cost.
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Version 1.2 delivers a private AWS MCP control center with automated first boot setup, trusted HTTPS, separate client tokens, restricted starter access, a safe readiness test, SSH helper commands, and clean AMI preparation.
Additional details
Resources
Vendor resources
Support
Vendor support
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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