The latest news, updates, and stories from Retool.

How a Retool software engineer uses the Retool MCP server as an MCP gateway to production data: read-only queries, existing permissions, and full audit logs.

89% of IT leaders have AI agents in production, but only 27% have one team that owns them all. New survey data on AI agent governance and ownership. URL Slug: /blog/ai-agent-org-chart

How Retool keeps AI-built apps governed: access set once, credentials out of app code, unsafe changes blocked, and every query logged. Plus 5 questions to ask.

Retool is now on Google Cloud Marketplace. Put committed cloud spend toward Retool, skip new-vendor onboarding, and keep one invoice.

Set table-, column-, and row-level access policies once on a Postgres resource, and Retool enforces them on every query, from every app, workflow, and AI agent.

Give every employee an AI agent in Slack, Teams, and Google Chat. Retool's centralized enterprise agent harness controls their tools, data, and models. Join the waitlist.

Learn how Retool and MongoDB are partnering to bring automated, secure credentials to MongoDB Atlas, enabling teams to build production-ready apps faster without compromising security.

AI ROI is real but concentrated. Retool CEO David Hsu joined a panel discussing why 90% of tokens are net negative, and how to find the 10% that pays off.

Choose the right tool for the job: how Retool's updated CLI compares to the MCP server, and when to build from your terminal instead of Claude Chat.

Not sure whether to reach for Retool's MCP or CLI? MCP is built for reading, admin tasks, and chat-only surfaces. CLI is built for code-heavy app development.

As teams ship fleets of agents, multi-agent governance is critical for staying accountable to their outputs. Learn three common failure points in agent governance, and the controls to fix them.

Retool surveyed 101 technical leaders on AI spending in 2026. See why 43% are over budget, how they're responding, and what's driving costs up.