Blog
AI infrastructure accumulates
There is no meeting where someone decides to build an internal AI platform. It just accretes, one reasonable decision at a time, until eighteen months later you have thirty-five thousand lines of glue code, one person who understands it, and no documentation. Here is how that happens, and why the fix is not writing better glue.
What I actually handed the agent
I built an internal agent to clean up our CRM. It worked great — until a friend asked me what it was actually authorized to do. When I went and looked, I realized I had handed an autonomous process admin credentials with no expiry, no scoping, and no audit log. This is that story, written down plainly.
Security has to come first
AI agents are starting to touch real company systems, which means security cannot be something added later. This is how we think about isolation, key control, and the protocol layer at Metorial.
"Metorial lets us turn customer connector requests into something we can actually ship. We can focus on building the AI analyst experience, while Metorial handles the OAuth, permissions, and MCP infrastructure underneath."
"With Metorial, we've been able to build a single pane of glass across all our data sources, tools, and messaging platforms, and it's worked incredibly well."
Metorial supports secret encryption backed by AWS KMS, including your own KMS keys. You control the encryption of secrets stored in Metorial, with full audit logs.
Metorial VaultMetorial Vault stores the credentials your integrations need securely and uses them without exposing them, with encryption keys managed by Metorial or by you and every operation audited.
ToolsTools are the individual actions inside a provider. Metorial lets you grant or restrict them one at a time. An agent only gets the specific actions it needs.
Magic MCP ServerMetorial automatically creates a Magic MCP server for each person. A virtual MCP endpoint they paste into their agent. They sign in with SSO once and reach every tool they're allowed to use, with no tokens, no secrets, and no config to manage.
Agent ExplorerAgent Explorer lets you connect any integration in Metorial and use a real AI model to test it with real data. You can see how an agent will actually use your tools before you put them in production.
Metorial ExplorerMetorial Explorer lets you connect to any integration, explore its capabilities, and test it directly, with logs and performance in view so you understand how it works.
Policies + Access ControlMetorial gives you granular, role-based access control over users, agents, and admins, with policies across skills, integrations, and agents, built on your existing identity.
1000+ Managed IntegrationsMetorial provides a library of more than 1000 managed integrations that are verified to work with popular AI agents and ready to use without building connections yourself.