V3 MCP Optimization

Reduce MCP startup time by pre-warming the connection pool and pre-building the tool index before accepting requests. This approach targets under 400ms initialization compared to roughly 1.8 seconds for unoptimized servers.

Implement connection pooling by maintaining a map of reusable connections with idle timeouts, usage limits, and periodic health checks. Evict least-recently-used connections when the pool reaches capacity and pre-warm a minimum number of connections at startup.

The fastest tool lookup uses a hash map for O(1) exact matches combined with an LRU cache for frequently accessed tools. Fuzzy matching indexes handle typos and name variations when exact matches fail.

Least-connections routing works well for uniform workloads, while response-time-based selection favors latency-sensitive requests. A weighted strategy combining load factor, response time, and tool category affinity offers the most balanced distribution.

Slow responses typically come from creating a new connection per request, linear O(n) tool searches, and lack of request batching. Monitor pool hit rate, tool lookup latency, and p95 response time to identify the bottleneck.

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