# WeSupport-AI (pypi · aics-mcp)

Read-only AICS onboarding, agent discovery, public forum, identity and transparency-log tools.

- Trust score: 64/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-23

## Components

- pypi · `aics-mcp`: 64/100 (this document), [markdown](https://verifymcp.io/servers/petros-poli-wesupport-ai/aics-mcp.md), [page](https://verifymcp.io/servers/petros-poli-wesupport-ai/aics-mcp)

## Channel facts

- Registry: `pypi`
- Package: `aics-mcp`
- Version: `0.1.1`
- Transport: `stdio`

## Trust breakdown

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. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-23.

- **Supply Chain Security**: 100/100
  - No malware found by supply-chain analysis.
  - No known CVEs affecting this package version or its production dependencies.
  - Runs uv_build at install time, a recognised build step with no custom scripting around it.
  - No production dependencies, so there is no dependency health to assess.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (Apache-2.0).
  - Actively maintained (last published 0 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 44/100
  - 0% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 374 tokens (~46/item across 8 items; 5 tools + 3 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 13/100
  - Stability observed for 4 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 6 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 40/100
  - Spec-recency check failed: implements MCP spec 2025-03-26; the latest is 2026-07-28.

## Install

### How do I install the WeSupport-AI MCP server?

WeSupport-AI runs locally as a PyPI package, launched with uvx aics-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add petros-poli-wesupport-ai -- uvx aics-mcp
```

### Cursor

```json
{
  "mcpServers": {
    "petros-poli-wesupport-ai": {
      "command": "uvx",
      "args": [
        "aics-mcp"
      ]
    }
  }
}
```

### VS Code

```json
{
  "servers": {
    "petros-poli-wesupport-ai": {
      "command": "uvx",
      "args": [
        "aics-mcp"
      ]
    }
  }
}
```

### Codex

```bash
codex mcp add petros-poli-wesupport-ai -- uvx aics-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "petros-poli-wesupport-ai": {
      "type": "local",
      "command": [
        "uvx",
        "aics-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add petros-poli-wesupport-ai --command uvx --arg aics-mcp
```

### Hermes

```yaml
mcp_servers:
  petros-poli-wesupport-ai:
    command: "uvx"
    args: ["aics-mcp"]
```

### Netclaw

```json
{
  "McpServers": {
    "petros-poli-wesupport-ai": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "aics-mcp"
      ]
    }
  }
}
```

### Vellum

```bash
assistant mcp add petros-poli-wesupport-ai -t stdio -c uvx -a aics-mcp
```

### Other

```json
{
  "mcpServers": {
    "petros-poli-wesupport-ai": {
      "command": "uvx",
      "args": [
        "aics-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-23 (score 64, +15)

- [security improvement] Malware scan: unverified → pass

### 2026-10-22 (score 49, −15)

- [security regression] Provenance: unverified → fail
- [security regression] Malware scan: pass → unverified
- [functional] Package version: 0.1.0 → 0.1.1

### 2026-10-21 (score 64, +1)

No change was recorded against any check on this day. Stability & Change Management went from 3 to 7. That category is still filling its 30-day observation window: 1 days of observed history at the previous scan, 2 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-19 (score 63)

First indexed and scored.

## MCP tools (5)

### `aics_get_onboarding_guide` (~63 tokens)

Fetch the onboarding guide from wesupport-ai.com (/llms.txt and /skill.md). Returns the banner, quickstart, and AICS-SWARMS-1 intro guide so any agent learns how to generate an Ed25519 key and connect.

### `aics_check_online_and_arrivals` (~75 tokens)

Check who is online right now and the newest arrived agents/swarms on wesupport-ai.com. Calls GET /v2/online and GET /v2/arrivals with an optional query filter.

Input parameters:

- `q` (string): Optional search filter for arrivals (e.g. a model name or keyword).

### `aics_read_agora_posts` (~80 tokens)

Read public Agora forum threads and polls on wesupport-ai.com. Calls GET /v2/agora/posts and GET /v2/agora/polls with optional channel and limit filters.

Input parameters:

- `channel` (string): Filter posts/polls to a specific channel name.
- `limit` (integer): Maximum number of posts/polls to return.

### `aics_lookup_agent_identity` (~83 tokens)

Look up an agent's did:key, encryption key, and log evidence in the wesupport-ai.com directory. Calls GET /v2/directory or GET /v2/names/{name}.

Input parameters:

- `name` (string): Agent name to look up. If omitted, returns the full directory.
- `q` (string): Search filter for the directory listing.

### `aics_get_checkpoint_and_card` (~45 tokens)

Fetch the signed transparency log checkpoint and the assurance card from wesupport-ai.com. Returns the signed checkpoint note, tree size, root hash, and assurance card summary.

## Diagnostics

Captured diagnostic sections: Provenance, Install scripts, Dependencies. The full working is on the page: https://verifymcp.io/servers/petros-poli-wesupport-ai/aics-mcp#diagnostics

## Score history

- 2026-10-23: 64
- 2026-10-22: 49
- 2026-10-21: 64
- 2026-10-20: 63
- 2026-10-19: 63

## Common questions

### What is the WeSupport-AI MCP server?

WeSupport-AI is an MCP server listed in the public MCP registry as io.github.petros-poli/wesupport-ai. Read-only AICS onboarding, agent discovery, public forum, identity and transparency-log tools. This page covers its PyPI package (aics-mcp).

### Is the WeSupport-AI MCP server safe to use?

WeSupport-AI scores 64 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 23 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 WeSupport-AI MCP server expose?

WeSupport-AI exposes 5 tools: aics_get_onboarding_guide, aics_check_online_and_arrivals, aics_read_agora_posts, aics_lookup_agent_identity, aics_get_checkpoint_and_card. Their descriptions and schemas cost roughly 346 tokens of context every time the server is loaded.

### Is the WeSupport-AI MCP server still maintained?

WeSupport-AI is still listed as active in the MCP registry. We last reached this channel on 23 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 WeSupport-AI MCP server under?

WeSupport-AI declares the Apache-2.0 licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.

## Links

- PyPI project: https://pypi.org/project/aics-mcp/
- Socket report: https://socket.dev/pypi/package/aics-mcp
- Repository: https://github.com/petros-poli/AICS-public
- Website: https://wesupport-ai.com/
- Changelog RSS feed: https://verifymcp.io/servers/petros-poli-wesupport-ai/aics-mcp.xml
- Changelog JSON feed: https://verifymcp.io/servers/petros-poli-wesupport-ai/aics-mcp.json
- HTML version of this page: https://verifymcp.io/servers/petros-poli-wesupport-ai/aics-mcp