Connect AI agents to protected resources through MCP servers, identity gateways, and OAuth flows—no static credentials required.
Choose your path
Expose Aembit capabilities to AI agents via Model Context Protocol.
Secure MCP tool calls with workload identity and access policies.
Integrate from code, commands, or infrastructure. Choose how your workload gets credentials at runtime, then how you manage the configuration behind it.
Attest your workload and retrieve credentials from TypeScript or Python.
Manage configuration through the Cloud API and retrieve credentials through the Edge API.
Retrieve credentials in CI/CD pipelines using GitLab, GitHub, or OIDC tokens.
Intercept your workload's traffic so its source needs no changes.
Learn what Aembit does, how workload identity works, and set up your first secure connection.
Deploy Aembit Edge, configure access policies, manage credentials, and monitor workload activity.