Edge MCP

Edge MCP refers to Model Context Protocol servers running locally on your device through the Edge Agent, providing enhanced capabilities while maintaining complete privacy and control.

Key Advantages

Complete Privacy & Security

• Local Execution: All MCP operations run on your machine - no data leaves your device
• Zero Trust: No need to upload credentials or sensitive information to cloud services
• Full Control: You decide which MCPs run and what permissions they have
• Air-Gapped Operations: Work completely offline when needed

Unlimited Customization

• Custom MCPs: Build and deploy your own MCP servers for specific workflows
• Local Integrations: Connect to internal tools, databases, and services
• Development Environment: Access to your local development stack and tools
• File System Access: Direct read/write access to your local files and projects

Enhanced Performance

• No Network Latency: Local execution means instant responses
• Resource Control: Use your machine's full computing power
• Persistent State: MCPs can maintain state between sessions
• Batch Operations: Handle large datasets without upload/download overhead

Enterprise-Ready

• Corporate Compliance: Keep sensitive data within corporate boundaries
• Custom Protocols: Integrate with proprietary internal systems
• Audit Trails: Complete logging of all MCP activities
• Permission Management: Granular control over what each MCP can access

Getting Started

1. Install Edge Agent: Download and install the Edge App
2. Configure MCPs: Enable built-in MCPs or install custom ones
3. Set Permissions: Define what each MCP can access on your system
4. Start Using: Your AI agent can now leverage local capabilities

Popular Edge MCPs

• File System: Read, write, and manage local files
• Terminal: Execute system commands with confirmation
• Git: Interact with local repositories
• Database: Connect to local databases
• Custom APIs: Integrate with internal services
• Development Tools: Access IDEs, compilers, and build systems

Edge MCP transforms your local machine into a powerful extension of your AI agent, providing capabilities that simply aren't possible with cloud-only solutions.