AI Agent

There’s no hard limit on how many MCP servers Claude can connect to, but practical limits emerge from startup time, context usage, and tool selection accuracy. Here’s what happens as you add more servers and when it makes sense to use lazy loading, disable unused servers, or consolidate connections through an MCP gateway.

Lazy loading lets Claude discover MCP tool definitions on demand instead of loading every connected server's full catalog upfront, cutting token usage by over 85% in measured cases.

A practical look at building MCP connectors that are clear, secure, and easy for AI agents to use, from choosing the right tools and writing better schemas to testing, authentication, and production readiness.

An AI agent doesn't reason about which MCP tool to call, it predicts, by matching your request against tool names and descriptions. This piece breaks down how that prediction works, why more tools make it worse, and how naming, description quality, and deferred loading fix it, with Wati MCP as the running example.

A WhatsApp rate limit mid-send isn't one problem, it's several. Here's when an MCP server should queue the message, and when it should reject it outright.

Use Meta's test phone number and a 5-recipient allowlist to test WhatsApp sends safely, with dry runs and a separate test WABA before production.

An MCP server outage can leave an AI agent waiting on an unanswered tool call. Learn what happens during MCP failures and how to handle timeouts, retries, and recovery safely.

MCP tool calls don't hand the model your whole database. See exactly what the server, client, and model each see, and how to keep it that way.

There is no fixed answer, and that is the specification's deliberate choice rather than an omission. Model Context Protocol defines no idle timeout, no absolute lifetime and no keep-alive that extends

MCP does not replace WhatsApp webhooks. Why teams run both, what each layer owns, and a migration sequence that keeps existing automations working.

How to log, trace and monitor MCP tool calls for a WhatsApp AI agent, catch silent delivery failures, and keep customer data out of your logs.

MCP splits failures into two channels: JSON-RPC errors and isError results. Get the split wrong and your agent can't see or recover from a failed call.