Spanly vs Wattfare

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you...

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you.

About Spanly

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run. That's how it can tell you a tool name is why agents pick the wrong tool, or a schema is why they pass bad arguments, not just that p95 moved. Health monitors connect to your MCP servers on a schedule, list their tools, prompts and resources, and alert your channels when a server goes down.

About Wattfare

Users connect, set a spending cap, and you call any model through one SDK, charged to them, not you. OpenAI-compatible Works with the Vercel AI SDK ~5-min integration. One button connects a user's inference budget to your app, metered, capped, and revocable. The problem AI costs are the one line item you can't predict. Every AI app makes the same uncomfortable bet: price high enough to survive your power users, ration usage so nobody hurts you, or quietly lose money on the heavy ones.