The Enterprise-Ready AI Control Plane.
Obot provides accessibility, security and control for AI agents.
Control Every Action AI Agents Take
Obot scopes what each user and agent can see and call through user roles, MCP Registries, and a Skills Catalog. Every request across servers, CLIs, and agents is intercepted and checked against access controls and policies before it reaches the target. Enterprises get consistent policy enforcement across every AI integration, without custom controls.
- Access control lists scoped per user and user group
- Applies across remote MCP servers, local MCP servers, APIs, CLIs, and agent-generated code
- User identity, MCP Registries, and Skills Catalog define access at configuration time
One Place to Discover, Deploy, and Govern AI Tooling
Obot gives organizations a single registry to discover, install, request, and manage MCP servers and Skills across every agent. Users install from a desktop client without manual configuration, while admin reviews, approves, and publishes to the catalog, combining tools from multiple servers into new endpoints when needed. Teams get access to a governed, curated catalog of AI tooling within a single instance.
- MCP and Skills gateway with search and install from a desktop client
- Create new MCP servers by composing tools from one or more existing servers
A Complete Record of Every AI Action
Capture every request and response across every MCP server an agent calls, in a single audit trail with Obot. Each record is written to one exportable log, reviewable and exportable without stitching across multiple sources. Security and compliance teams get a complete record of every AI tool action from one place.
- Full audit logs exportable to enterprise storage
- Query, analyze, and generate reports against the complete audit record
Fleet Visibility Before Shadow AI Becomes a Risk
Obot Sentry scans and inventories AI client configurations across user machines, reporting every unmanaged agent, MCP server, Skills, tool and plugin. LLM call and tools logs are collected across the fleet, blacklisted MCPs and Skills are disabled directly from the dashboard. Security teams get full visibility into agents running across the organization, intercepting risks before they become a compliance or security threat.
- Scans and discovers all unmanaged agents, MCPs, and Skills across the fleet
- Collects LLM call logs and tool call logs across the fleet
- Blacklisted MCPs and Skills disabled directly from the admin dashboard
Visibility and Control Over Every Model Call
Obot gives platform teams complete visibility into model consumption by agent, user, and group, with the controls to manage it. Enforce which users and groups can call which models, route traffic across providers, and lay the foundation for cost governance as your model stack grows. Platform teams can identify where model spend is concentrated and act on it before costs scale out of control.
- Complete visibility into token usage by agent, user, and group
- Model access policies control which users and groups can call which models
Community Led from Day One
Obot is 100% open source, built alongside the AI community. Enterprises get full transparency, with the option to self-host and audit the code to meet compliance requirements, create and connect their own MCP servers and choose the AI tools fit for their organization. This gives security and compliance teams the flexibility and control across their organization.
- Complete transparency of the codebase
- Self-host on your own infrastructure
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