LUMI MCP Gateway is an enterprise-grade LLM routing and MCP gateway that provides a single unified endpoint to connect, manage, and control multiple Model Context Protocol (MCP) servers and AI models, with built-in cost monitoring and usage optimization.

    Overview

    LUMI is a standalone enterprise system designed to act as a smart routing layer between applications, MCP servers, and large language models. It removes the need to configure and manage multiple MCP servers and model providers individually by exposing a single secure gateway and unified API.

    At the core of LUMI is the MCP Gateway, which allows organizations to connect to multiple MCP (Model Context Protocol) servers through one endpoint. Developers and agents connect to LUMI once and gain controlled access to all enabled MCP servers, tools, and integrations without additional client-side configuration.

    LUMI supports both Global MCP Servers, managed centrally by administrators for organization-wide use (for example Jira, Confluence, or internal APIs), and Personal MCP Servers, created by individual users for development, testing, or private tools.

    In addition to MCP routing, LUMI integrates directly with multiple LLM providers, including OpenAI, Anthropic, AWS Bedrock, Google Vertex AI, and Azure OpenAI. The platform includes built-in analytics, usage tracking, and cost control mechanisms that help teams monitor consumption, detect overuse, and optimize spending.

    LUMI is designed for enterprise environments and provides role-based access control, audit logs, secure token management, and administrative tooling required for operating AI systems at scale.

    Highlights

    • Access all MCP servers and AI models through a single endpoint instead of managing multiple configurations and credentials.
    • Centralized administration of global and personal MCP servers with role-based access control, audit logs, and secure authentication.
    • Built-in analytics and usage tracking help prevent unexpected spending and optimize LLM usage across providers.

    Details

    Delivery method

    Deployed on AWS
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    Features and programs

    Financing for AWS Marketplace purchases

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    Pricing

    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (1)

     Info
    Dimension
    Description
    Cost/month
    LUMI Monthly Subscription
    Monthly subscription that provides access to the LUMI platform, including the MCP Gateway, AI model routing, centralized access control, and usage analytics. This subscription represents a fixed-price contract and is not based on usage volume.
    $8,000.00

    Vendor refund policy

    Buyers may request a refund by contacting us at sales@ais-digital.com . Refund requests must be submitted no later than 30 days before the end of the service period. Refunds are calculated based on actual usage up to the effective date of service termination. No refund will be issued for periods earlier than 30 days after written notice is provided by either party. Refunds are processed in accordance with AWS Marketplace billing rules.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

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    Support

    Vendor support

    For product support, customers can contact us at sales@ais-digital.com . We provide assistance with installation, configuration, and operation of the Virtual Agentic Office. All support inquiries receive a response within 24 hours during business days. Additional support options or escalation paths can be arranged upon request.

    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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