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Every AI editor now speaks MCP, but each one stores config differently, supports different transports, and has its own OAuth quirks. This is the practical comparison: where the config lives, what works over stdio vs HTTP, and the gotchas for six mainstream clients.
Read articleHuman callers read prose and ask a teammate when confused; agents retry, chain calls, and act on whatever a response most resembles. A few design rules separate APIs agents use reliably from ones they misuse: idempotency, strict schemas, machine errors, and async jobs.
Read articleAn MCP server is just JSON-RPC over a transport, which means it is fully testable without an AI in the loop. Here is a practical ladder: Inspector for discovery, curl for the protocol, and deterministic automated tests for schemas, errors, and side effects in CI.
Read articleThe same MCP server can run over stdio on a laptop or Streamable HTTP behind a domain, and the choice changes auth, state, latency, and who can use it. Here is a decision framework with the actual launch commands and client config for each transport.
Read articleLocal stdio MCP servers inherit your CLI credentials, so nobody notices auth until they host one. Remote MCP servers require OAuth 2.1 with PKCE, metadata discovery, and short-lived tokens. Here is the full flow and the mistakes that get servers rejected by clients.
Read articleBehavior first, routes second. AI drafts the OpenAPI contract as reviewable diffs, the team settles money, idempotency, and error envelopes up front, and mocks plus scenarios define done before implementation starts.
Read articleA grounded look at the review gates that keep AI-generated APIs usable: staged plans, granular JSON Patch cards that never overwrite your fields, read-before-edit tools, and deterministic validation.
Read articleAI across the entire API lifecycle, drafting operations from cURL or Postman, generating tests, explaining failures, with a review-and-revert model and a local-first guarantee: your file stays the source of truth.
Read articleA booking app built from one prompt can pass every visual check and still fail on time zones, double bookings, and stale cancel responses. Teams need a contract both people and tools can query, change, and verify.
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