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The Command+K blog

Field notes on AI-native SaaS.

How to ship MCP servers, embed in-product AI assistants, and monetize AI usage — written by the team building the platform.

All clustersMCP educationIn-product AIAI monetizationComparison & discovery
Clear tag: #Reliability ×
  • MCP education

    isError is not an error: how an MCP tool fails and still looks successful

    The MCP isError flag rides inside a successful JSON-RPC response, which is why hosts miss it. Three production bugs from our gateway: the failure a host has no name for, HTTP 200 with a GraphQL errors array, and the null result that isn't an error at all.

    Sep 18, 2026 · 7 min
  • MCP education

    MCP error handling patterns that hosts can actually use

    Three error categories every MCP server should return — retryable, user_action_required, permanent — plus the shape, the audit story, and why you should never leak a stack trace.

    Jul 13, 2026 · 4 min
  • MCP education

    MCP rate limiting and quotas: a practical guide

    Why MCP servers need stricter limits than REST APIs, and how to layer per-tool, per-user, per-workspace, and cost caps without breaking agent UX.

    Jul 5, 2026 · 4 min
  • MCP education

    The production MCP server checklist

    Ten things every MCP server needs before it ships to enterprise customers — auth, scopes, quotas, observability, audit, versioning, dry-run, rollback, health, docs.

    Jul 4, 2026 · 5 min
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