HumanCAUTION
Human Assistance for AI Assistants
Overview
From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.
A Model Context Protocol (MCP) server that enables AI assistants to get human input when needed. This tool creates tasks on Amazon Mechanical Turk that let real humans answer questions from AI systems. While primarily a proof-of-concept, it demonstrates how to build human-in-the-loop AI systems using the MCP standard. See limitations for current constraints.
Setup
Prerequisites
- Node.js 16+
- AWS credentials with MTurk permissions. See instructions below.
- AWS CLI (recommended for setting aws credentials)
Configuring AWS credentials
# Configure AWS credentials for profile mcp-human
export AWS_ACCESS_KEY_ID="your_access_key"
export AWS_SECRET_ACCESS_KEY="your_secret_key"
aws configure set aws_access_key_id ${AWS_ACCESS_KEY_ID} --profile mcp-human
aws configure set aws_secret_access_key ${AWS_SECRET_ACCESS_KEY} --profile mcp-humanConfiguring MCP server with your MCP client
Claude code
Sandbox mode:
claude mcp add human -- npx -y mcp-human@latest
The server defaults to sandbox mode (for testing). If you want to submit real requests, use MTURK_SANDBOX=false.
claude mcp add human -e MTURK_SANDBOX=false -- npx -y mcp-human@latest
Generic
Update the configuration of your MCP client to the following:
{
"mcpServers": {
"human": {
"command": "npx",
"args": ["-y", "mcp-human@latest"]
}
}
}e.g.: Claude Desktop (MacOS): ~/Library/Application\ Support/Claude/claude_desktop_config.json
Configuration
The server can be configured with the following environment variables:
656e7c85e7eeOBSERVED · 2026-10-09Connect
Built from this server's own package name, version and transport as found in its source — not copied from anyone's documentation, so it cannot drift against a page we do not control.
claude mcp add mcp-human -- npx -y [email protected]
{
"mcpServers": {
"mcp-human": {
"command": "npx",
"args": [
"-y",
"[email protected]"
]
}
}
}Exposed tools (2)
2 read · 0 write · 0 destructive.
| Tool | Risk | Description |
|---|---|---|
askHuman | read | |
checkHITStatus | read |
Trust audit
CAUTIONgrade B · trust 87/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | PASS |
| L1 | Static analysis of the code | WARN |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- declared (2 observation(s))
- Shell
- none-observed
- Dependencies
- not all pinned
- Secrets in source
- none-found
Findings (4)
if (process.env.CALLBACK_URL) {formUrl.searchParams.append("callbackUrl", process.env.CALLBACK_URL);@aws-sdk/client-mturk, @modelcontextprotocol/sdk, fast-xml-parser, zod, @types/node, prettier, typescript
Gates applied: no_behavioural_pass, no_license.
656e7c85e7eefull audit observations/trust-audit/mcp-server/olalonde__human.json · Report an issue / request a re-scanAudit history
Every audit this server has had. A grade with a past is a grade somebody is still checking.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-09 | 656e7c85e7ee | CAUTION | B | 87 | first audit |
Questions
What is the Human MCP server?
Human Assistance for AI Assistants
What tools does Human expose?
2 in total: 2 read-only, 0 that write, and 0 that can delete or overwrite. Every one is listed on this page with its risk.
Is Human safe to connect to an agent?
With care. The audit graded it B (87/100) and found 4 things worth knowing before you trust this server, listed below with the exact line each was found on.
What credentials does Human need?
No credential environment variables were found in its source, so it appears to need none.
How does Human run?
It speaks stdio, so it runs as a local process your client starts. It is published on npm as mcp-human at 0.0.6.
How current is this page?
The grade is for one exact copy of the source (656e7c85e7ee), read on 2026-10-09. The repository is watched and re-audited when it changes.