Open-source MCP proxy for AI agent access control with CEL policies, RBAC, and audit.
🛠️ Key Features
- MCP server proxy for model context and control
- Access control with CEL-based policies
- Role-Based Access Control (RBAC) enforcement
- Audit logging of MCP requests and responses
🚀 Use Cases
- Enforce fine-grained AI agent permissions in MCP workflows
- Centralized policy evaluation for model context requests
- Compliance-focused auditing of agent interactions
⚡ Developer Benefits
- Open-source, transparent MCP proxy implementation
- Clear policy model combining CEL and RBAC
- Integrates with existing MCP ecosystems for AI agents
⚠️ Limitations
- Information available limited to name, description, and core capabilities
- Specific readme or extended docs not provided in source data