MCP
Model Context Protocol is becoming the default interoperability layer for tool and service connections.
Platform support:3 of 3 tracked clouds
Microsoft FoundryAmazon BedrockGemini Enterprise Agent Platform
Enterprise AI tooling landscape
Tracking what Azure, AWS, and GCP offer alongside the best open source alternatives.
Updated weekly. Data-dense. No fluff. Compare the foundation platforms first, then move into agent, orchestration, governance, and assistant layers.
Naming moves fast here: use Microsoft Foundry, Amazon Q Developer, and Gemini Enterprise as the current product names.
Categories4
Tools loaded48+
Updated2026-05-30
Foundation AI platforms
These three platforms are the base stack behind much of the rest of the market. Each card below shows the cloud foundation, and the category pages then break out what that vendor offers directly versus what teams often pair with it from open source or commercial tools.
Microsoft Foundry
Microsoft
11,000+
Broadest model catalog plus agents, governance, and sovereign deployment options.
Amazon Bedrock
AWS
100+
Framework-agnostic model access with strong AWS-native agent and safety integration.
Gemini Enterprise Agent Platform
Google
200+
Model Garden plus Gemini, Agent Development Kit, and enterprise MLOps in one stack.
What is changing in the enterprise AI market
Enterprise teams now evaluate a control plane, a delivery layer, a governance boundary, and an emerging standards layer separately. This tracker is structured around those real buying and architecture seams instead of flattening managed platforms, open source frameworks, and point products into one catalog.
1. Foundation clouds are setting the defaults
Microsoft, AWS, and Google increasingly define identity, model access, security controls, procurement path, and the first route into production.
2. Delivery layers are competing above the cloud
Agent frameworks, orchestration stacks, and assistant surfaces now compete on speed, openness, integration depth, and operational fit.
3. Governance is becoming a hard adoption gate
Guardrails matter where they touch approvals, auditability, data handling, model policy, and regulated-enterprise controls rather than demo-only safety claims.
4. Standards support is starting to matter
Protocols like MCP, A2A, and OpenAPI are becoming practical signals for ecosystem fit, tool portability, and how easily platforms connect to external agents and services.
How to read this tracker
Start with Platforms if you need to understand the cloud control plane. Then use the category hubs to compare what each vendor offers directly versus the open source and commercial tools teams pair with those foundations in practice.
Protocol tracking: MCP, A2A, and OpenAPI
Protocol support is starting to shape enterprise platform choices. This snapshot tracks where the major cloud foundations already expose protocol alignment and surfaces recent dataset mentions for MCP, A2A, and OpenAPI.
A2A
Agent2Agent support matters where teams expect cross-agent handoffs instead of single-vendor agent silos.
Platform support:3 of 3 tracked clouds
Microsoft FoundryAmazon BedrockGemini Enterprise Agent Platform
OpenAPI
OpenAPI still matters as the stable enterprise contract for API exposure, governance review, and gateway alignment.
Platform support:2 of 3 tracked clouds
Microsoft FoundryGemini Enterprise Agent Platform
AI Agent Frameworks
Cloud agent platforms and open source frameworks.
14
View all →
AI Orchestration
Workflow engines, pipelines, and automation layers.
11
View all →
AI Governance
Guardrails, safety controls, and policy tooling.
10
View all →
AI Assistants
Coding copilots, productivity assistants, and platforms.
13
View all →
Latest update · 2026-05-28
PlatformsModel AdditionMedium impact
Amazon Bedrock
Amazon Bedrock
AWS added Anthropic Claude Opus 4.8 to Amazon Bedrock, giving Bedrock customers access to Anthropic's latest high-end model inside AWS-managed security and regional controls.
Source: Claude Opus 4.8 is now available on AWS