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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Obot AI
Obot AI

Obot AI

Founded 2024

Deploy, monitor, and govern enterprise AI agents and model context protocol servers

You can use Obot to manage and secure how AI agents interact with your internal systems. It functions as an enterprise control plane and gateway for Model Context Protocol servers. You can set permissions, enforce access policies with single sign-on, and keep complete audit logs of every prompt and tool call. Obot also scans your network to detect shadow AI agents or unauthorized integrations. You can run it directly on your own infrastructure or use their managed cloud service.

What Obot AI does

Host internal MCP servers behind an authenticated endpointConfigure SSO login with Okta or Microsoft EntraSet access policies to restrict tool usage by user groupScan network endpoints to identify unmanaged AI toolsExport full request and response logs for compliance auditsMonitor token spend by agent and userDeploy the control plane using Docker or KubernetesCentral MCP gateway for hosting and routing model context protocol serversFine-grained role-based access control and policy enforcement for AI actionsComplete audit logging for every tool call and LLM request with export optionsObot Sentry network scanner to identify shadow AI agents and MCP serversEnterprise identity provider integration using SSO and OIDCOpen source core that can be self-hosted via Docker or KubernetesToken usage and spend analytics across individual users, agents, and groups

Frequently asked

GithubGithubOktaOktaClaudeClaudeCursorCursorDockerDockerKubernetesKubernetes

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Obot, MCP gateway, AI control plane, Model Context Protocol, AI agents, AI governance, shadow AI, agent audit logs, SSO authentication, Docker, Kubernetes, AI security, tool calling, Claude integrations, Cursor integrations