Scaling Agent Tools with Amazon Bedrock AgentCore Gateway

Overview

• Presentation on scaling agent tools and AI agents using Amazon Bedrock AgentCore Gateway
• Covers challenges of managing large numbers of agents and tools, and how AgentCore Gateway addresses these
• Includes a real-world use case from Sumo Logic on deploying agentic AI for security operations

Key Challenges in Scaling Agents and Tools

Managing Agent-Tool Integration

• Agents need access to real enterprise data, APIs, and other tools to function effectively
• Integrating agents with these disparate data sources and tools becomes complex at scale
• Need a way to decouple agents from specific tools and enable dynamic, scalable integrations

Handling Governance and Access Control

• As the number of agents and tools grows, need to manage fine-grained access control and permissions
• Multi-tenancy requirements add further complexity in governing access
• Need a centralized way to enforce security policies and access controls

Reducing Operational Overhead

• Scaling infrastructure to support large numbers of agents and tools is operationally intensive
• Upgrading protocols and managing containers/servers becomes a significant burden

Amazon Bedrock AgentCore Gateway

Key Features

• Provides a single, unified communication point for all agent-tool interactions
• Enables one-click "MCPification" of existing enterprise APIs and AWS Lambda functions
• Integrates with existing MCP servers to unify access through a single gateway
• Offers built-in features for tool discovery, access control, observability, and evaluation

Technical Architecture

• Sits as an intermediary between agents and various tools/APIs/servers
• Handles protocol translation, credential exchange, routing, and auditing of all interactions
• Supports integrations via Lambda functions, OpenAPI specs, and Smithy models
• Allows attaching existing MCP servers as targets for unified access

Key Capabilities

• Caching and indexing of tool schemas for fast listing and searching
• Secure communication via private VPC integration and credential exchange
• Fine-grained access control using interceptors and custom Lambda authorizers
• Seamless integration with existing identity providers (OAuth, IAM)

Sumo Logic's Agentic AI Journey

Sumo Logic Platform Overview

• Cloud-scale intelligent operations platform, ingesting multi-petabytes of data daily
• Provides analytics tools and out-of-the-box integrations for enterprises

Sumo Logic Dojo AI

• Multi-agent system for security operations and incident response
• Agents act as digital teammates, leveraging context-aware reasoning and natural language
• Agents integrated with Sumo Logic's platform APIs and MCP servers

Integration Patterns

1. API-as-a-Tool: Exposing APIs (REST, GraphQL) as MCP tools
2. Agent-as-a-Tool: Integrating Sumo Logic's AI agents as MCP tools
3. MCP Server Integration: Connecting external MCP servers to the gateway

Business Impact

• 50% faster analysis time
• Up to 75% reduction in mean-time-to-resolution for incidents
• Millions in cost savings from improved incident response

Key Takeaways

• Start with user queries and agent goals, then work backwards to identify and MCPify enterprise data sources
• Carefully design MCP tool descriptions to balance accuracy and performance
• Implement fine-grained access control and security measures for autonomous, non-deterministic agents
• Leverage features like tool registries, semantic search, and interceptors to scale agent-tool management
• Consider business impact in terms of improved efficiency, reduced costs, and better customer experiences