AI2Human
PYPI · AI2HUMAN-MCP · SCANNED OCT 2
Dispatch human-execution tasks with proof verification, local checks, and compliance reviews.
Available components
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 Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 1 of 21 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 71 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability64
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 212 tokens (~53/item across 4 items; 4 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 4 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 4 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
How do I install the AI2Human MCP server?
AI2Human runs locally as a PyPI package, launched with uvx ai2human-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · ai2human-mcp
claude mcp add richard7463-ai2human-mcp -- uvx ai2human-mcp
{
"mcpServers": {
"richard7463-ai2human-mcp": {
"command": "uvx",
"args": [
"ai2human-mcp"
]
}
}
} {
"servers": {
"richard7463-ai2human-mcp": {
"command": "uvx",
"args": [
"ai2human-mcp"
]
}
}
} codex mcp add richard7463-ai2human-mcp -- uvx ai2human-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"richard7463-ai2human-mcp": {
"type": "local",
"command": [
"uvx",
"ai2human-mcp"
],
"enabled": true
}
}
} openclaw mcp add richard7463-ai2human-mcp --command uvx --arg ai2human-mcp
mcp_servers:
richard7463-ai2human-mcp:
command: "uvx"
args: ["ai2human-mcp"] {
"McpServers": {
"richard7463-ai2human-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"ai2human-mcp"
]
}
}
} assistant mcp add richard7463-ai2human-mcp -t stdio -c uvx -a ai2human-mcp
{
"mcpServers": {
"richard7463-ai2human-mcp": {
"command": "uvx",
"args": [
"ai2human-mcp"
]
}
}
} 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.
- 2 Oct 26 0
- Stability: 0.97 → pass security
- 1 Oct 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.
- 29 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 28 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 27 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 26 Sept 26 −3
- Stability: pass → 0.80 functional
- 25 Sept 26 0
- We updated how we score, so this day's move reflects our rubric, not a change to the server See what changed → functional
- 24 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.
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 2 Oct 2026 · Analysed pypi/ai2human-mcp@0.1.2
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 21 packages
| Packages resolved | 21 |
|---|---|
| Stale | 1 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
ai2human_check_task ~34
Check human execution, proof verification, and settlement state for a dispatched task.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ai2human_create_task ~118
Dispatch a workflow step that software cannot complete alone to a human operator. Use for local verification, physical checks, identity-bound actions, document review, compliance checks, or errands. Payment remains gated by proof verification.
| Name | Type | Req | Description |
|---|---|---|---|
| acceptance_criteria | – | – | – |
| agent_name | – | – | – |
| category | string | yes | – |
| deadline_hours | number | yes | – |
| description | string | yes | – |
| location | – | – | – |
| proof_requirements | array | yes | – |
| reward_usdc | number | yes | – |
| title | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ai2human_get_proof ~34
Retrieve the structured evidence bundle and recorded settlement receipt for a dispatched task.
| Name | Type | Req | Description |
|---|---|---|---|
| task_id | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
ai2human_list_categories ~26
List supported reality-bound task categories and proof types before dispatching human work.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the AI2Human MCP server?
AI2Human is an MCP server listed in the public MCP registry as io.github.richard7463/ai2human-mcp. Dispatch human-execution tasks with proof verification, local checks, and compliance reviews. This page covers its PyPI package (ai2human-mcp).
Is the AI2Human MCP server safe to use?
AI2Human scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 2 October 2026. 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 AI2Human MCP server expose?
AI2Human exposes 4 tools: ai2human_create_task, ai2human_check_task, ai2human_get_proof, ai2human_list_categories. Their descriptions and schemas cost roughly 212 tokens of context every time the server is loaded.
Is the AI2Human MCP server still maintained?
AI2Human is still listed as active in the MCP registry. We last reached this channel on 2 October 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 AI2Human MCP server under?
AI2Human declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.