claude mcp add human-survey -- npx -y human-survey
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
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1 ★ · sunsiyuan/human-survey · read from the repository page · (checked 2026-10-16 20:00:20)
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collected from the punkpeye/awesome-mcp-servers list · type: MCP server
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first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
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score 703 · 1 ★ · 7 sources · mcp
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repository sunsiyuan/human-survey;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
**Website:** humansurvey.co · **Docs:** humansurvey.co/docs · **FAQ:** humansurvey.co/faq Attribution for the channels that have no referrer. HumanSurvey asks one question — how did you hear about us — inside the host's own signup or payment flow, at a granularity that is actually actionable: the platform first, then which creator, podcast, event or store. What is this? An API and MCP server for self-reported attribution. TikTok in-app, Instagram, podcasts, communities, word of mouth, AI assistants: the exposure happens where tracking cannot reach, and asking a human is the only always-on signal that survives every referrer leak. Two placements answer different questions. In the payment flow, the respondent is already a paying customer, so the answer joins to revenue with no conversion ingest at all. In the signup flow, it is the only way to see the people a channel sends who never pay. Divide a channel's share of the paying population by its share of the signup population. Above 1 it converts better than your average, below 1 worse. Multiply that ratio by your overall signup-to-paid rate to get the channel's own rate. It is designed for: - hosts embedding a form in their own onboarding or checkout - agents that keep the candidate list current and read the results back It is not designed for: - general-purpose surveys — arbitrary question types, Markdown authoring and conditional logic were removed in the attribution pivot - a human-facing analytics dashboard: the aggregates are an API resource, and the agent is the dashboard - reaching your audience for you — HumanSurvey never contacts respondents; the transports it offers (the /s/{id} URL and the iframe embed) are ones you control Features - **Progressive disclosure, not pagination** — POST the platform answer, PATCH the follow-up. The first answer is durable before the second is asked, and a respondent who abandons the follow-up is still real data. - **Rotation by default** — the orderable candidates are permuted per respondent, seeded by a client-minted render_id, so the raw share is unbiased by construction. fixed order exists for callers who want it and does not hide its bias. - **Retroactive remapping** — free text is stored verbatim and resolved against the remap table on every read, so one mapping fixes months of history with no backfill. - **Immutable config snapshots** — a response is joined to the version it was rendered against, so reconfiguring cannot rewrite what history says was shown. - **One join key, both directions** — external_id brings revenue in and carries per-user attribution back out to your own user table. - **Cursor reads** — a response becomes visible once it is complete, is emitted exactly once, and is final when emitted. Nothing downstream has to upsert. Product Principles - **AI-first I/O**: agents configure the form and consume the results; humans are in the middle. - **Everything is an API**: creator functionality must be available over authenticated HTTP and MCP. - **Narrow scope wins**: one question, asked well. A feature that mainly serves a human survey operator probably does not belong here.