V3 MCP Optimization

Reduce MCP startup time by pre-warming the connection pool, pre-building the tool index before accepting requests, and deferring non-critical initialization. These patterns target under 400ms startup versus the baseline 1.8 seconds.

Implement a ConnectionPool class that stores pooled connections with lastUsed timestamps, usage counts, and health flags. Reuse healthy connections within the idle timeout, evict least-recently-used entries at capacity, and retire connections after a maximum usage count.

Use a hash-based Map index for O(1) exact-match lookup instead of linear search, backed by an LRU cache for hot tools. Add a fuzzy matcher for typo tolerance and a category index for grouped retrieval.

Yes, the optimized transport batches non-urgent messages into a single payload flushed on timeout or batch-size limits, and applies gzip compression. Responses, errors, and high-priority messages bypass batching and send immediately.

Memory growth typically comes from idle connections never being cleaned up and unbounded caches. Set idle timeouts with eviction, cap connection usage counts, and bound cache sizes with LRU eviction to reduce idle memory by roughly 50%.

Track request latency percentiles (p50, p95, p99), error rate, connection pool hit rate, tool lookup time, and memory usage. Alert when p95 exceeds 200ms, error rate exceeds 5%, or pool hit rate drops below 70%.