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sunsiyuan/human-survey

sunsiyuan/human-survey

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在 GitHub 查看 ↗直链 · 无中转页
配置模板(请按你的客户端调整)
claude mcp add human-survey -- npx -y human-survey
这是根据仓库名生成的可粘贴骨架,命令行参数与包名请以该项目 README 为准。
★ 数取值
1 ★ · sunsiyuan/human-survey · 取自该仓库的 GitHub 页面 · (2026-10-16 20:00:20 核对)
来源明细
收录自 punkpeye/awesome-mcp-servers 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
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收录于 2026-10-09 · 最近见到 2026-10-16 · 共见到 32 次 · 被 7 个来源列出
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综合分 703 · 1 ★ · 7 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
仓库 sunsiyuan/human-survey;我们收录于 2026-10-09;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

HumanSurvey

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

**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.
来源
awesome · https://github.com/sunsiyuan/human-survey
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