About Obot
Obot is an open-source platform for organizations that want to manage, secure and govern their use of AI. It offers shared infrastructure for connecting AI clients to models and tools, distributing approved MCP servers and skills, managing agent access and credentials, running hosted AI workloads, and recording activity across services and user devices.
It does not require standardizing on one AI client, model provider or tool ecosystem. Desktop agents and tools such as Claude Code, Codex, Cursor and VS Code can use the parts that apply. The server provides MCP and LLM gateways, sandboxed execution for hosted MCP servers and agents, identity and access control with permissions and secrets, correlated audit logs, and MCP and skills registries built on Git-backed catalogs. A device-side component scans and enforces policy, and a CLI lets users install approved servers.
Obot is written in Go and licensed under MIT. It integrates with remote MCP servers, LLM providers, S3-compatible storage, Git providers and authentication providers, and is deployed on infrastructure the organization controls. It suits platform and security teams rolling out AI tooling across a company.
Key features
- MCP gateway with composite servers
- LLM gateway for model providers
- Sandboxed execution for hosted MCP servers
- Identity, permissions, and secrets management
- Correlated audit logs of AI activity
- Git-backed MCP and skills registries
Good fit for
- →Governing which MCP servers employees can use
- →Auditing AI agent activity across a company
- →Centralizing LLM access and credentials
- Built with
- Go
- Tags
- ai-governance
- mcp
- llm-gateway
- audit-logs
- security
- agents
- go
- access-control
- self-hosted
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