humansurvey-mcp
The HumanSurvey MCP server enables AI agents to create structured surveys, collect human feedback, and retrieve machine-readable results.
Create Surveys (
create_survey): Build surveys from a JSON schema supporting question types (single_choice,multi_choice,text,scale,matrix), conditional logic (showIf), expiration dates (expires_at), response limits (max_responses), and webhook notifications on closure. Returns a shareable URL and survey ID.Get Results (
get_results): Retrieve aggregated results including survey status (open/closed), total response count, choice tallies with percentages, scale mean/median/distribution, and recent text responses.List Surveys (
list_surveys): View all surveys associated with your API key (ordered newest first) to track status and retrieve IDs.Close Surveys (
close_survey): Permanently close a survey to stop accepting responses, returning the final response count.Self-Provision API Keys: Agents can create their own API keys for authentication.
Surveys are designed for asynchronous collection — share the URL with respondents and retrieve structured JSON results hours or days later, without needing a human dashboard.
HumanSurvey
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.
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 mappingWhat 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
Related MCP server: veyra-forms
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.fixedorder 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_idbrings 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": "you@example.com" }'
curl -X POST https://www.humansurvey.co/api/auth/verify \
-H "Content-Type: application/json" \
-d '{ "email": "you@example.com", "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/docsOpenAPI:
https://www.humansurvey.co/api/openapi.jsonAI index:
https://www.humansurvey.co/llms.txt
Tech Stack
Component | Technology |
Framework | Next.js (App Router) |
Database | Neon (serverless Postgres) |
Frontend | React + Tailwind CSS |
MCP Server | @modelcontextprotocol/sdk |
Deployment | Vercel |
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 docsContributing
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 packagesLicense
MIT
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