Platformr Expands Optics AI Suite with Tag Manager and an MCP Server, Bringing Conversational AWS Governance to Every AI Workflow

Partners and customers can now audit and apply AWS resource tags across an entire AWS Organization in plain English, and connect an agentic workspace directly to their Platformr Organizations.

BEND, Ore., Nov. 3, 2026 /PRNewswire/ -- Platformr, an AI cloud operations company and Amazon Web Services (AWS) Partner, today announced the recent release of two additions to its Optics AI Suite: the Optics Tag Manager agent and the Optics Remote MCP Server. Tag Manager lets cloud teams manage all resource tags across multiple AWS accounts from a single agent interface, including the tags AWS partner programs such as Partner Revenue Measurement (PRM) rely on. The MCP Server connects the AI assistants teams already use to their Platformr Organizations.

Tag Manager: consistent tags across the whole organization just by asking

Tags do far more than label resources. They drive cost allocation, attribute-based access control (ABAC) policies, partner program attribution, and operational targeting for services like AWS Systems Manager and AWS Backup. Keeping them consistent across dozens of accounts is hard, and getting them wrong has real consequences: resources drift from the standard, cost attribution becomes unreliable, and cleanup turns into weeks of scripting.

With Optics Tag Manager, a team member describes the outcome in plain English, such as: "Show me every EC2 instance in us-east-1 and us-west-2 missing a CostCenter tag, then apply CostCenter=Platform-Engineering to any instance tagged Environment=prod." The Optics agent finds every matching resource across the organization and applies the change within the customer's guardrails. For exact boundaries, a structured query builder targets by account, region, resource type, and tag presence. Teams can add, update, remove, or rename tags at scale, preview the full impact before anything runs, and share a Tag Compliance Report of what an audit found.

Tag Manager is governed by design. Its service role is scoped strictly to tagging operations. It cannot read application data, change resource configuration, or create or delete resources. Customers can layer their own Service Control Policies over it, and every action is recorded in the customer's own AWS CloudTrail, with Platformr's activity log capturing the request behind it. Because Tag Manager runs on Optics Discovery, requests resolve against a live view of the organization at the moment they are made, not a cached inventory.

Built for the tagging AWS partner programs depend on

For MSPs and SIs, tags carry weight beyond cost reporting. AWS programs such as PRM can attribute AWS usage to a partner's solution through a resource tag, and the Migration Acceleration Program (MAP) uses resource tags to track qualifying usage. Tag Manager can read, add, update, and remove the PRM tag (aws-apn-id) like any other, so teams can audit an AWS Organization for resources missing it, apply it in bulk, and catch drift before it affects attribution. Resources deployed through Platformr already carry the PRM tag, and Tag Manager covers the rest of the environment. Eligibility and benefits under AWS programs are determined by AWS.

"Fixing tags shouldn't mean weeks of writing scripts and cleaning up account by account," said George Rolston, Co-Founder and VP of Product at Platformr. "Optics Tag Manager lets our partners and customers ask for the outcome they want, preview it, and apply it, including the PRM tag, across every account in their AWS Organization, inside the guardrails their security teams set."

Optics MCP Server: Platformr inside the AI tools teams already use

The Optics MCP Server lets teams run Platformr in their own AI agent of choice. Users add the server to their agentic workspace of choice, sign in with their existing Platformr account, and work with their AWS environments in plain English. There are no new credentials and no new console to learn.

Through the MCP Server, teams can:

• Evaluate any number of AWS Organizations. List Platformr Organizations, switch between them, run security evaluations, and pull scored results in a single chat session.
  
  
• Discover resources across subscribed AWS Organizations with read-only access, including mapping accounts to workloads and fetching detailed configurations on demand.
  
  
• Manage Foundation and workloads. Review saved settings before deployment, check deployment status, ask why a deployment failed and get the failed stack and relevant error from the build logs, and import an existing AWS Organization through a guided dialogue instead of a form.
  
  
• Build dashboards. Ask the AI agent to turn evaluation results into interactive visuals, such as scores by organization and findings by workload.

Anyone can evaluate AWS Organizations for free, with no Platformr subscription required, by creating an evaluation Platformr Organization directly from agentic workspaces like Claude, Kiro, Copilot, or even a custom Strands agent. MCP is the open standard for connecting AI models to real systems. By exposing Platformr through it, a team's security, governance, and FinOps data becomes a data source for any agent it runs, including automated workflows.

"Your AWS configuration, data, and reporting should be available wherever your team already works," said Rolston. "With the Optics MCP Server, an engineer in Claude or a developer in Kiro can evaluate the configuration, check on deployments, and build reporting dashboards in plain English, with no new credentials and no new console. And anyone can start with a free evaluation."

Availability

Optics Tag Manager is part of the Optics AI Suite. Customers can turn it on under Settings > Optics in the Platformr console and then run the guided deployment for their AWS Organization. The Optics Remote MCP Server is available to all Platformr customers, and anyone can start with a free AWS Organization evaluation. To learn more or request a demo, visit platformr.cloud/get-started.

About Platformr

Platformr is an AI CloudOps platform purpose-built for AWS environments and organizations. Platformr gives users the tools to deliver secure, well-architected AWS environments quickly and then stay engaged at every stage of the customer journey, from ongoing security and compliance monitoring to cost optimization and operational visibility. The result is less time spent on infrastructure, more time spent on high-value work for customers. Learn more at platformr.cloud.

Media Contact
Ryan Comingdeer
ryan.comingdeer@platformr.cloud 

SOURCE Platformr