Optimizing MCP performance requires attention to several factors:

Connection Optimization

• Persistent Connections: Use long-lived connections vs. request/response
• Connection Pooling: Maintain ready connections to frequently used servers
• Streaming Support: Leverage incremental data transfer where possible

Caching Strategies

1. Context Caching: Store frequently accessed resources
2. Tool Metadata Caching: Cache tool descriptions and schemas
3. Response Caching: Store results of deterministic operations
4. Invalidation Policies: Design appropriate cache freshness policies

Scalability Approaches

• Horizontal Scaling: Deploy multiple MCP server instances with load balancing
• Resource Allocation: Right-size infrastructure based on usage patterns
• Asynchronous Processing: Use background tasks for non-interactive operations
• Batching: Group related operations where appropriate

Monitoring Metrics

• Request latency (p50, p95, p99)
• Throughput (requests per second)
• Error rates by server and operation
• Resource utilization (CPU, memory, network)