「MCPに対応している」は入場券に過ぎない。
AIエージェントをPoCで動かせたのに本番移行できない——その壁の正体は、プロトコルの先にあります。
ガバナンス、ビジネスプロセス制御、実行基盤。MCPサーバーの裏側で"何が動いているか"が本当の勝負です。
Workato Japan Field CTO 鈴木が、MCP不要論にも正面から向き合いながら解説しました👇
https://t.co/sDugmFViRu
We're open-sourcing the Seven Factors — a framework for safely governing AI agents in enterprise systems. This draws on our experience at Workato running agentic orchestrations for thousands of enterprise customers. We've distilled 7 principles at the intersection of AI agents and real business systems.
The reasoning layer owns intent.
The control plane owns consequences.
This includes safe retries, deterministic mutations, recovery contracts & more. This is an open project — we're actively seeking community input and open dialogue. Feedback, issues, PRs, and discussions are very welcome.
https://t.co/Mkb2iefXzu
This month's releases bring enterprise-grade upgrades across infrastructure, identity, and AI agent connectivity - and they're built for teams that can't afford to slow down. Here's what's new:
✅ API Edge Gateway: API management inside your own infrastructure - on-prem or private cloud - managed alongside cloud from one workspace.
✅ China Data Center: All data processed and stored exclusively within China for full in-region data residency.
✅ SCIM 2.0 Provisioning: Connect Okta, Entra ID, or Google Workspace and let your IDP handle user access automatically.
✅ Developer Portal SSO: Centralized, password-free authentication for developers with SAML SSO and JIT provisioning.
✅ Expanded LLM Model Selection: Choose which model powers each Genie, with audit logs and auto-migration built in.
✅ New Pre-Built #MCP Servers: Microsoft Excel, OneDrive, Marketo, and Zendesk - more of the enterprise stack within reach of your #AIagents.
More coverage, more control, more connectivity - every month. Dive into the details: https://t.co/uPv4KFsqYk
🤔💭AIは嘘をつく?
AIエージェントが“実務で使えない”本当の理由
① コンテキスト不足(社内データ未接続)
② 正確性の不安定さ(再現性がない)
③ セキュリティ/ガバナンスの欠如
この3つをどう設計で解決するのか?
今注目されている「MCP」をわかりやすく解説!
▶️https://t.co/LpOptUBBx2