mcpField
H
human-survey

human-survey

Local
github.com/sunsiyuanBusiness & Marketing1Updated 13w ago

About human-survey

HumanSurvey is an API and MCP server for collecting self-reported channel attribution in signup or payment flows. It helps product hosts and agents identify platforms and specific creators behind referrals that tracking cannot capture.

Key features

  1. 01Embed attribution forms in signup or checkout
  2. 02Progressively ask platform and creator questions
  3. 03Rotate candidate order per respondent
  4. 04Remap free-text answers retroactively
  5. 05Read rollups and responses through APIs

Use cases

  1. 01Measure where signups first heard about a product
  2. 02Compare channel representation among signups and paying customers
  3. 03Connect attribution responses to revenue using an external user ID

MCP support

The MCP server provides tools for configuring attribution forms and reading their results through the attribution API.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"sunsiyuan-human-survey": {
"command": "npx",
"args": [
"-y",
"humansurvey-mcp"
],
"env": {
"HUMANSURVEY_API_KEY": "<HUMANSURVEY_API_KEY>"
}
}
}
}
Run commandnpx -y humansurvey-mcp
Environment variables to set
HUMANSURVEY_API_KEYSecretYour HumanSurvey API key (starts with hs_sk_). Get one at https://www.humansurvey.co

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmhumansurvey-mcp1.2.0

Tools

10

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
codestringNoThe six digits from the email. Omit on the first call — you cannot know this value; ask the person for it.
namestringNoA label for the key, e.g. the project it is for.
emailstringYesThe person’s email address. They will read the code out of this inbox.

Details

From the project README

HumanSurvey

Website: humansurvey.co · Docs: humansurvey.co/docs · FAQ: humansurvey.co/faq

human-survey MCP server

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.

Agent configures a form   → platforms from the catalog, creators supplied by the caller
Host embeds /s/{id}       → in its signup flow, its payment flow, or both
Respondent answers        → picks a platform; that pick expands the follow-up in place
Host pushes conversions   → POST /api/attribution/events, keyed on its own user id
Agent reads back          → rollup, raw response stream, free text awaiting a mapping

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.
  • No confident percentages: every number ships beside the denominator it was computed over, and a number we cannot compute honestly is null rather than smoothed.

Quick Start

Get an API key
curl -X POST https://www.humansurvey.co/api/auth/code \
  -H "Content-Type: application/json" \
  -d '{ "email": "[email protected]" }'

curl -X POST https://www.humansurvey.co/api/auth/verify \
  -H "Content-Type: application/json" \
  -d '{ "email": "[email protected]", "code": "481920", "grant": "api_key" }'

Anonymous key creation is gone. Every key belongs to an account from birth, which is what gives a lost key a recovery path and makes rotation free.

Create a form, then configure it
curl -X POST https://www.humansurvey.co/api/attribution/forms \
  -H "Authorization: Bearer hs_sk_..." \
  -H "Content-Type: application/json" \
  -d '{
    "name": "Checkout — how did you hear about us",
    "allowed_origins": ["https://app.example.com"]
  }'
{
  "id": "abc123efgh45",
  "form_url": "https://www.humansurvey.co/s/abc123efgh45",
  "warnings": ["this form has no config yet; PUT /api/attribution/forms/abc123efgh45 with {nodes} before embedding it"]
}

A form renders nothing until it has a config. PUT stores one as an immutable snapshot:

curl -X PUT https://www.humansurvey.co/api/attribution/forms/abc123efgh45 \
  -H "Authorization: Bearer hs_sk_..." \
  -H "Content-Type: application/json" \
  -d '{
    "nodes": [
      {
        "id": "channel",
        "prompt": "Where did you first hear about us?",
        "candidates": [
          { "id": "tiktok", "catalog_slug": "tiktok", "expands": "creator" },
          { "id": "reddit", "catalog_slug": "reddit" },
          { "id": "friend", "label": "A friend or colleague" },
          { "id": "dunno", "label": "I don'\''t remember", "pinned": "end", "dont_remember": true }
        ]
      },
      {
        "id": "creator",
        "prompt": "Which account was it?",
        "candidates": [
          { "id": "oecuid_8812", "label": "Jade", "handle": "@jade.work0" }
        ]
      }
    ]
  }'

Platform labels, marks and aliases come from GET /api/attribution/catalog and are copied into the snapshot. Creator candidates are yours: the product renders a candidate set and returns the id that was chosen, and matching a vague description against a creator database is upstream work.

Read the results
curl "https://www.humansurvey.co/api/attribution/rollup?form_id=abc123efgh45&by=candidate&from=2026-07-01&to=2026-08-01" \
  -H "Authorization: Bearer hs_sk_..."

Also on the read side: GET /api/attribution/forms/{id}/responses (cursor stream, or one identity via ?external_id=), .../unresolved for free text awaiting a mapping, and POST .../remaps to resolve it retroactively. Full request and response shapes are in the OpenAPI document.

Use with Claude Code
{
  "mcpServers": {
    "survey": {
      "command": "npx",
      "args": ["-y", "humansurvey-mcp"],
      "env": {
        "HUMANSURVEY_API_KEY": "hs_sk_your_key_here"
      }
    }
  }
}

The server name stays survey and the package stays humansurvey-mcp — both sit inside every existing user's config. Its ten tools now speak the attribution API — see packages/mcp-server/README.md. npm publishes separately from this repo, so the version on npm can lag what is here.

Public Surface

  • Docs page: https://www.humansurvey.co/docs
  • OpenAPI: https://www.humansurvey.co/api/openapi.json
  • AI index: https://www.humansurvey.co/llms.txt

Tech Stack

ComponentTechnology
FrameworkNext.js (App Router)
DatabaseNeon (serverless Postgres)
FrontendReact + Tailwind CSS
MCP Server@modelcontextprotocol/sdk
DeploymentVercel

Project Structure

├── apps/web/            # Next.js app (API + respondent page + site)
│   ├── lib/attribution/ # config, responses, reads, rollup, remap
│   └── supabase/migrations/  # applied through scripts/migrate.sh, with a ledger
├── packages/mcp-server/ # MCP server for Claude Code
└── docs/                # architecture, roadmap, design docs

Contributing

Read CONTRIBUTING.md before opening a PR. The most important rule is scope discipline: new UI variants, analytics dashboards, and human-operator features are usually out of scope.

Development

pnpm install
pnpm dev               # Start Next.js dev server
pnpm test              # node --test over apps/web/lib/**/*.test.ts
pnpm build             # Build all packages

License

MIT

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.