Eon uses AWS Bedrock AgentCore to build a single MCP gateway for multi-cloud incident investigation
In short: Eon, a data protection ISV running on AWS, replaced per-tool credentials and local MCP servers with a single Amazon Bedrock AgentCore MCP Gateway. The gateway uses Cedar-based policies to enforce least-privilege access for both human engineers and an autonomous SRE agent running Claude on Amazon Bedrock, routing calls to MCP servers hosted on AgentCore Runtimes across multiple AWS accounts. Developer onboarding time dropped from about two days to about two minutes after rolling the system out to 100+ developers and roughly 10,000 sessions.
This summary was generated automatically by AI from AWS Machine Learning's publication. It is our own text, not a copy of the original — facts, figures and quotes belong to the source, linked above and below.
What changed?
- 1Replaced per-tool credentials and local MCP processes with one centralized AgentCore Gateway
- 2Cedar-based policies enforce read/write separation for both human engineers and the autonomous SRE agent
- 3Cross-account access via IAM role assumption, eliminating VPC peering/PrivateLink setup per account
- 4Introduced DYNAMIC tool listing mode to keep Cedar policy size manageable for large tool catalogs
- 5Built an API Gateway shim to bridge OAuth state-parameter CSRF protection with AgentCore's session-URI binding
- 6Developer onboarding time went from roughly 2 days to about 2 minutes; local MCP processes per machine went from 10 to 0
Why it matters
As agent-based tooling expands, managing credentials and authorization per tool and per cloud becomes a bottleneck; a managed MCP gateway with policy-based access control shows a way to scale agent tool access without custom integration code for every new tool or account.
What it means for AI agents and contact centers
For teams running voice agents that call multiple backend tools (CRM, telephony stats, ticketing, monitoring) across accounts or clouds, this pattern — one MCP gateway, centralized identity, policy-based least-privilege access for both humans and agents — is worth comparing against current per-integration credential management, especially if onboarding new tools or environments is currently slow.
🧪 Worth Testing
The architecture directly addresses scaling tool/function calling access for agents across multiple systems and accounts, which is relevant if your agent stack needs to reach many integrations with controlled, auditable permissions.
Sources
- AWS Machine LearningOfficialPrimary sourceOriginal article →„How Eon built multi-cloud investigation with an MCP Gateway on Amazon Bedrock AgentCore“20 Oct 2026, 18:57
- Published by source
- 20 Oct 2026, 18:57
- Found by our system
- 20 Oct 2026, 19:16
- Summary generated
- 20 Oct 2026, 19:49
This article was written by AI from the original source. Facts, numbers and prices come from the source; missing values are marked “Not specified”. Legal notice, copyright and privacy