Overview
Raily supports the Model Context Protocol (MCP), enabling standardized communication between AI models and your content. MCP servers provide a consistent interface for AI systems to discover and access your data.What is MCP?
Model Context Protocol is an open standard for AI-content interaction that:- Provides standardized content discovery
- Enables structured data exchange
- Supports authentication and authorization
- Tracks usage and analytics
Standard Protocol
Industry-standard protocol supported by major AI providers
Easy Integration
Simple integration with AI applications and agents
Access Control
Built-in authentication and authorization
Analytics
Track how AI systems use your content
MCP Server Features
Content Discovery
Enable AI systems to discover your content through standardized MCP endpoints.Authentication
Secure your MCP server with API keys or OAuth authentication methods.Usage Policies
Control how content is used through MCP with policies for allowed purposes, rate limits, and quotas.Metadata Exposure
Expose rich metadata about your content including titles, descriptions, topics, and licensing information.Search Capabilities
Enable keyword, semantic, or hybrid search through your MCP server.MCP Endpoints
Standard endpoints provided by Raily MCP servers:- Content discovery
- Content access
- Metadata query
- Search
Best Practices
Clear Documentation
Provide clear documentation for AI systems using your MCP server
Rate Limiting
Set appropriate rate limits to protect your infrastructure
Monitoring
Monitor MCP usage for unusual patterns
Versioning
Version your MCP APIs for backward compatibility