The Powerduck Blog
Product updates, engineering notes, and guides for designing, debugging, testing, mocking, and serving MCP tools from one OpenAPI spec.
Browse the guidesQuick answer: Hoppscotch and Powerduck are both friendly to developers who want to avoid a heavy, account-gated client, but they are organized around different centers. Hoppscotch is a web-first, open-source
Read articleQuick answer Short answer: A collection-first workflow maintains requests as the artifact; a contract-first workflow maintains the spec and derives the requests. The first is intuitive and drifts; the second
Read articleQuick answer Short answer: Both can run in CI, but the source of the checks differs. A collection-based runner executes the requests you authored; a spec-first runner derives the checks
Read articleQuick answer Short answer: A request-scoped assistant is useful for editing and running the call in front of you; a spec-driven assistant reasons over the whole contract and can generate
Read articleQuick answer Short answer: Treat the existing collections as evidence of the API, not as the destination. Convert them into an OpenAPI contract, then generate the request set from that
Read articleQuick answer Short answer: Both tools send a request and show the response. The difference is that a contract-first studio verifies the response against the schema and flags the field
Read articleQuick answer Short answer: Self-hosting Hoppscotch gives you a web platform under your own domain, but it is a service to run and maintain. A local desktop studio opens the
Read articleQuick answer Short answer: Hoppscotch is a fast, free, web-first request tool; Powerduck is a local-first studio that generates the request set from the contract and verifies the responses. The
Read articleQuick answer: Smithery and Powerduck both touch MCP hosting, but from opposite directions. Smithery is a registry and gateway: a large catalog of community and third-party servers, one-click connection, and
Read articleQuick answer Short answer: A registry is a cloud-centered discovery layer; a local-first workflow keeps the contract in your repo and generates the server on save. The first is about
Read articleQuick answer Short answer: A generated server shows exactly which operation and schema produced each tool, and surfaces the operations it skipped because their metadata was incomplete. A catalog server
Read articleQuick answer Short answer: You do not need a registry to expose your own API. Keep the spec in the repo, generate the server, run it over a local transport
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