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io.github.sunsiyuan/human-survey

NPM · HUMANSURVEY-MCP · SCANNED SEP 24

Self-reported attribution: which channel and which creator your users first heard you from.

Available components

0 this week 80 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security98
  • No malware found by supply-chain analysis.Pass
  • No known CVEs affecting this package version or its production dependencies.Pass
  • No install/post-install scripts declared.Pass
  • 31 of 95 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability71
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1548 tokens (~154/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
  • Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage97
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 92% of tool parameters carry a description.Partial
Tool Safety75
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • 0 of 1 tool(s) whose name or description implies an irreversible operation declare an MCP destructiveHint annotation; "revoke_remap" implies "revoke" and declares no destructiveHint at all, which the MCP spec reads as destructive by default. See how to fix → Fail
  • An AI judge read all 10 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the io.github.sunsiyuan/human-survey MCP server?

io.github.sunsiyuan/human-survey runs locally as an npm package, launched with npx -y humansurvey-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · humansurvey-mcp

# add to Claude Code
claude mcp add sunsiyuan-human-survey -- npx -y humansurvey-mcp
// .cursor/mcp.json
{
  "mcpServers": {
    "sunsiyuan-human-survey": {
      "command": "npx",
      "args": [
        "-y",
        "humansurvey-mcp"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "sunsiyuan-human-survey": {
      "command": "npx",
      "args": [
        "-y",
        "humansurvey-mcp"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add sunsiyuan-human-survey -- npx -y humansurvey-mcp
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "sunsiyuan-human-survey": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "humansurvey-mcp"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add sunsiyuan-human-survey --command npx --arg -y --arg humansurvey-mcp
# ~/.hermes/config.yaml
mcp_servers:
  sunsiyuan-human-survey:
    command: "npx"
    args: ["-y", "humansurvey-mcp"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "sunsiyuan-human-survey": {
      "Transport": "stdio",
      "Command": "npx",
      "Arguments": [
        "-y",
        "humansurvey-mcp"
      ]
    }
  }
}
# add to Vellum
assistant mcp add sunsiyuan-human-survey -t stdio -c npx -a -y humansurvey-mcp
// mcp.json
{
  "mcpServers": {
    "sunsiyuan-human-survey": {
      "command": "npx",
      "args": [
        "-y",
        "humansurvey-mcp"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 24 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 22 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 21 Sept 26 0
    • Stability: 0.97 → pass security
  • 20 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

  • 17 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.

  • 15 Sept 26 −2
    • Stability: pass → 0.80 functional
  • 14 Sept 26 0
    • Stability: 0.97 → pass security
  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 24 Sept 2026 · Analysed npm/humansurvey-mcp@1.2.0

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Dependencies 95 packages
Packages resolved 95
Stale 31
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 10 exposed · ~1,548 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
configure_form ~233

Set the questions and candidates a form shows. Replaces the whole configuration and stores it as a new immutable version, so responses already collected keep describing the list they were actually shown. Re-sending an identical configuration reuses the existing version rather than making another. A form is one single-select question, optionally expanding into a second. Give a candidate an `expands` naming another question to reveal it when that candidate is picked — that is how "TikTok" becomes "which account". Candidate ids must be stable keys that survive a rename. Using a handle as an id splits that creator’s history in two the day they change it. Set catalog_slug to take a candidate’s label and logo from the platform catalog. Order defaults to "rotate", which randomizes per respondent and is what makes the reported shares unbiased; "fixed" keeps your order and accepts that earlier options get picked more often for being earlier.

NameTypeReqDescription
form_idstringyesThe form to configure.
nodesarrayyesOne to twelve questions. Exactly one must not be reachable by any `expands` — that one is asked first.

No output schema declared.

No examples provided.

create_form ~156

Create a form and return its id, its respondent URL, and the iframe and postMessage listener to embed that URL in a host page. The form has no questions yet and shows nothing to respondents until it is configured. allowed_origins restricts which sites may embed it; leaving it empty allows any site, which means any site can spend this account’s response quota.

NameTypeReqDescription
allowed_originsarrayOrigins permitted to embed the form, e.g. ["https://app.example.com"]. Scheme and host only — a path is rejected rather than trimmed.
namestringyesAn internal label. Respondents never see it.
themeobjectExactly these four tokens. Any other key is rejected rather than ignored.

No output schema declared.

No examples provided.

get_attribution ~236

What respondents said, aggregated. Reports, per question, how many completed responses named each candidate out of how many answered that question, the unresolved answers in the same list, how often a follow-up question failed to find an answer, and revenue where conversion events have been recorded. Computed fresh on every call, including any mappings made since — so a rollup of a past window can legitimately change between two reads.

NameTypeReqDescription
bystring"candidate" (default) is one row per option; "node" collapses to one row per question.
form_idstringyesThe form to report on. Required: combining forms would mix two respondent populations into one denominator.
fromstringStart of the window, inclusive. ISO 8601; a value with no timezone is read as UTC.
metricstringSort order only; counts and revenue are both reported either way. Revenue appears on the rows of the first question and nowhere else, because a respondent’s money belongs to the respondent rather tha…
tostringEnd of the window, exclusive.

No output schema declared.

No examples provided.

get_catalog ~85

List the platforms HumanSurvey knows: the slug to use as catalog_slug, the display label, and which class of channel it is. These are the named channels a respondent can be shown — TikTok, ChatGPT, LinkedIn, Reddit and so on — plus the descriptive options that have no brand behind them, like "a friend or colleague told me". No API key needed.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

get_form ~70

Read one form: its settings, and the question configuration currently shown to respondents — every question, every candidate, and the order mode. Returns the configuration as JSON, because that is the exact shape a configuration write takes.

NameTypeReqDescription
form_idstringyesThe form id, as reported by the forms listing.

No output schema declared.

No examples provided.

list_forms ~46

List the forms on this account: id, name, respondent URL, whether it is active or paused, whether it has been configured with questions yet, and how many responses it has collected.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

list_unresolved ~154

The answers respondents typed instead of picking from the list, grouped by the exact text and ordered by how often it was typed. Reports the spelling variants seen, when each was first and last typed, and whether a mapping already covers it. These are verbatim words. Two texts that read alike may be different people, and a text may name somebody who is not on the candidate list at all.

NameTypeReqDescription
form_idstringyesThe form to read.
fromstringStart of the window, inclusive.
include_mappedbooleanInclude texts that a live mapping already resolves. Off by default.
limitinteger
tostringEnd of the window, exclusive.

No output schema declared.

No examples provided.

login ~182

Sign in with an email address and store an API key on this machine. Called with only an email, it mails a six-digit code and returns nothing usable — the code has to come from the person, out of their inbox. Called with the email and that code, it stores a key at ~/.humansurvey/credentials and reports where it was written. The key itself is never printed. Signing in and signing up are the same act: an address that has never been used gets an account.

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

No output schema declared.

No examples provided.

remap ~206

Record that a specific typed answer means a specific candidate. It applies to every response already carrying that text as well as every future one, so numbers reported for past windows change. The original text is never altered and a mapping can be revoked, but a report may already have been read. Only map a text whose meaning is established — a text that merely resembles a candidate’s name is not evidence that it is that candidate. One live mapping per text per question.

NameTypeReqDescription
candidate_idstringyesThe candidate it means. Not validated against the current configuration, because a candidate may have been removed while its history still needs the mapping.
form_idstringyes
node_idstringyesThe question the text was typed into. The same words can mean different things in different questions.
notestringWhy. Kept with the mapping.
rawstringyesThe typed text, exactly as reported. It is normalized the same way on both sides.

No output schema declared.

No examples provided.

revoke_remap ~180

Stop a mapping from applying. The typed answers it covered return to the unresolved list — in past windows as well as future ones, because rollups join mappings when they are read rather than when they are made. Numbers already reported for those windows will therefore change. Nothing is deleted: the mapping is marked revoked and kept, so a report produced while it was live can still be explained. Revoking an already-revoked mapping is not an error and does not move the time it stopped applying. Mapping ids appear beside any text that is already mapped in the free-text listing, and in the confirmation given when a mapping is created.

NameTypeReqDescription
form_idstringyesThe form the mapping belongs to.
remap_idstringyesThe mapping to revoke. A mapping id alone is never enough — it is checked against this form and this account.

No output schema declared.

No examples provided.

Common questions

What is the io.github.sunsiyuan/human-survey MCP server?

io.github.sunsiyuan/human-survey is an MCP server listed in the public MCP registry as io.github.sunsiyuan/human-survey. Self-reported attribution: which channel and which creator your users first heard you from. This page covers its npm package (humansurvey-mcp).

Is the io.github.sunsiyuan/human-survey MCP server safe to use?

io.github.sunsiyuan/human-survey scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 24 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the io.github.sunsiyuan/human-survey MCP server expose?

io.github.sunsiyuan/human-survey exposes 10 tools: login, get_catalog, list_forms, get_form, create_form, and 5 more. Their descriptions and schemas cost roughly 1,548 tokens of context every time the server is loaded.

Is the io.github.sunsiyuan/human-survey MCP server still maintained?

io.github.sunsiyuan/human-survey is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the io.github.sunsiyuan/human-survey MCP server under?

io.github.sunsiyuan/human-survey declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.