# io.github.ariekogan/ateam-mcp (npm · @ateam-ai/mcp)

Build, validate, and deploy multi-agent AI solutions from any AI environment.

- Trust score: 70/100 (medium)
- Change this week: +24
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- remote · `mcp.ateam-ai.com`: 52/100, [markdown](https://verifymcp.io/servers/ariekogan-ateam-mcp/mcp.md), [page](https://verifymcp.io/servers/ariekogan-ateam-mcp/mcp)
- npm · `@ateam-ai/mcp`: 70/100 (this document), [markdown](https://verifymcp.io/servers/ariekogan-ateam-mcp/ateam-ai-mcp.md), [page](https://verifymcp.io/servers/ariekogan-ateam-mcp/ateam-ai-mcp)

## Channel facts

- Registry: `npm`
- Package: `@ateam-ai/mcp`
- Version: `0.1.2`
- 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 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (94 of 95), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (94 of 95), so this covers what we could see, not the whole tree.
- **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 (MIT).
  - Actively maintained (last published 2 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 876 tokens (~73/item across 12 items; 12 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 27/100
  - Stability observed for 8 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.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add ariekogan-ateam-mcp -- npx -y @ateam-ai/mcp
```

### Codex

```bash
codex mcp add ariekogan-ateam-mcp -- npx -y @ateam-ai/mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ariekogan-ateam-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@ateam-ai/mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ariekogan-ateam-mcp --command npx --arg -y --arg @ateam-ai/mcp
```

### Hermes

```yaml
mcp_servers:
  ariekogan-ateam-mcp:
    command: "npx"
    args: ["-y", "@ateam-ai/mcp"]
```

### Other

```json
{
  "mcpServers": {
    "ariekogan-ateam-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@ateam-ai/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.

### 2026-08-03 (score 70, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-02 (score 69, +43)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: unverified → pass
- [security improvement] Malware scan: unverified → pass
- [security] Stability: Stability not yet verified: we do not have a sandbox capture of the MCP schema this version of the package serves yet.
- [functional regression] Capabilities: pass → unverified
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Stability: unverified → 0.23
- [functional improvement] License: unverified → pass
- [functional improvement] Schema quality: unverified → excellent
- [functional] Licence: MIT

### 2026-08-01 (score 26, +5)

- [security] Stability: Stability not yet verified: not enough scan history yet (needs a 30-day window).
- [functional improvement] MCP protocol: unverified → pass

### 2026-07-31 (score 21, −25)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 46)

First indexed and scored.

## MCP tools (12)

### `adas_get_spec` (~85 tokens)

Get the ADAS specification — schemas, validation rules, system tools, agent guides, and templates. Use this to understand how to build skills and solutions.

Input parameters:

- `topic` (string, required): What to fetch: 'overview' = API overview + endpoints, 'skill' = full skill spec, 'solution' = full solution spec, 'enums' = all enum values

### `adas_get_examples` (~83 tokens)

Get complete working examples that pass validation. Study these before building your own.

Input parameters:

- `type` (string, required): Example type: 'skill' = Order Support Agent, 'connector' = stdio MCP connector, 'connector-ui' = UI-capable connector, 'solution' = full 3-skill e-commerce solution, 'index' = list all available exam…

### `adas_validate_skill` (~45 tokens)

Validate a skill definition through the 5-stage ADAS validation pipeline. Returns errors and suggestions to fix.

Input parameters:

- `skill` (object, required): The full skill definition object to validate

### `adas_validate_solution` (~61 tokens)

Validate a solution definition — cross-skill contracts, grant economy, handoffs, and LLM quality scoring.

Input parameters:

- `skills` (array): Array of skill definitions included in the solution
- `solution` (object, required): The full solution definition object to validate

### `adas_deploy_solution` (~125 tokens)

Deploy a complete solution to ADAS Core — identity, connectors, skills. The Skill Builder auto-generates MCP servers from tool definitions. This is the main deployment action.

Input parameters:

- `connectors` (array): Array of connector metadata (id, name, transport, command, args)
- `mcp_store` (object): Optional: connector source code files. Key = connector id, value = array of {path, content}
- `skills` (array, required): Array of full skill definitions
- `solution` (object, required): Solution architecture — identity, grants, handoffs, routing

### `adas_deploy_skill` (~47 tokens)

Deploy a single skill into an existing solution.

Input parameters:

- `skill` (object, required): Full skill definition
- `solution_id` (string, required): The existing solution ID to add the skill to

### `adas_deploy_connector` (~47 tokens)

Deploy a connector — registers in the Skill Builder catalog and connects in ADAS Core.

Input parameters:

- `connector` (object, required): Connector metadata (id, name, transport, command, args)

### `adas_list_solutions` (~20 tokens)

List all solutions deployed in the Skill Builder.

### `adas_get_solution` (~131 tokens)

Read solution state — definition, skills, health, status, or export. Use this to inspect deployed solutions.

Input parameters:

- `skill_id` (string): Optional: read a specific skill by ID (original or internal)
- `solution_id` (string, required): The solution ID
- `view` (string, required): What to read: 'definition' = full solution def, 'skills' = list skills, 'health' = live health check, 'status' = deploy status, 'export' = exportable bundle, 'validate' = re-validate from stored stat…

### `adas_update` (~113 tokens)

Update a deployed solution or skill incrementally using PATCH. Supports dot notation for scalar fields and _push/_delete/_update for arrays.

Input parameters:

- `skill_id` (string): Required when target is 'skill'
- `solution_id` (string, required): The solution ID
- `target` (string, required): What to update: 'solution' or 'skill'
- `updates` (object, required): The update payload — use dot notation for scalars (e.g. 'problem.statement'), and tools_push/tools_delete/tools_update for array operations

### `adas_redeploy` (~63 tokens)

Re-deploy after making updates. Regenerates MCP servers and pushes to ADAS Core.

Input parameters:

- `skill_id` (string): Optional: redeploy a single skill. Omit to redeploy all skills.
- `solution_id` (string, required): The solution ID

### `adas_solution_chat` (~56 tokens)

Send a message to the Solution Bot — an AI assistant that understands your deployed solution and can help with modifications.

Input parameters:

- `message` (string, required): Your message to the Solution Bot
- `solution_id` (string, required): The solution ID

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/ariekogan-ateam-mcp/ateam-ai-mcp#diagnostics

## Score history

- 2026-08-03: 70
- 2026-08-02: 69
- 2026-08-01: 26
- 2026-07-31: 21
- 2026-07-30: 46
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/@ateam-ai/mcp
- Socket report: https://socket.dev/npm/package/@ateam-ai/mcp
- Repository: https://github.com/ariekogan/ateam-mcp
- Changelog RSS feed: https://verifymcp.io/servers/ariekogan-ateam-mcp/ateam-ai-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/ariekogan-ateam-mcp/ateam-ai-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/ariekogan-ateam-mcp/ateam-ai-mcp