# io.github.adorbistech/adorbis-mcp (npm · @adorbistech/mcp-server)

Adorbis AI MCP server. One key, 40+ models, auto-routed.

- Trust score: 63/100 (medium)
- Change this week: +18
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@adorbistech/mcp-server`: 63/100 (this document), [markdown](https://verifymcp.io/servers/adorbistech-adorbis-mcp/adorbistech-mcp-server.md), [page](https://verifymcp.io/servers/adorbistech-adorbis-mcp/adorbistech-mcp-server)

## Channel facts

- Registry: `npm`
- Package: `@adorbistech/mcp-server`
- Version: `1.0.2`
- 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**: 86/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (94 of 98), 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 98), 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 39 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 70/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 625 tokens (~89/item across 7 items; 7 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 0/100
  - Stability not yet verified: not enough scan history yet (needs a 30-day window).
- **Tool Coverage**: 93/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 78% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

**Unverified: 1 category.** A category scored 0 because we could not verify it: a data source with nothing on this package, evidence we could not reach, or a check we could not run. We only credit what we can confirm.

## Install

### Claude

```bash
claude mcp add adorbistech-adorbis-mcp -- npx -y @adorbistech/mcp-server
```

### Codex

```bash
codex mcp add adorbistech-adorbis-mcp -- npx -y @adorbistech/mcp-server
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add adorbistech-adorbis-mcp --command npx --arg -y --arg @adorbistech/mcp-server
```

### Hermes

```yaml
mcp_servers:
  adorbistech-adorbis-mcp:
    command: "npx"
    args: ["-y", "@adorbistech/mcp-server"]
```

### Other

```json
{
  "mcpServers": {
    "adorbistech-adorbis-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@adorbistech/mcp-server"
      ]
    }
  }
}
```

## 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.

### 2026-08-02 (score 63, +23)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: 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 regression] Tool coverage: 100 → unverified
- [functional improvement] Schema quality: unverified → good
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional] Licence: MIT

### 2026-08-01 (score 40, +20)

- [security improvement] Malware scan: unverified → pass
- [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 20, +14)

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

### 2026-07-30 (score 6, −39)

- [security regression] Malware scan: pass → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional] First check of Schema quality: unverified

### 2026-07-27 (score 45)

First indexed and scored.

## MCP tools (7)

### `adorbis_chat` (~154 tokens)

Send a message to Adorbis AI and get a response. Adorbis auto-routes to the best available model based on the selected department. Use this for general AI assistance, questions, and conversations.

Input parameters:

- `department` (string): AI department to use: 'adorbis/quick' (fast responses), 'adorbis/coder' (code), 'adorbis/auto' (smart routing), 'adorbis/write' (writing), 'adorbis/reason' (analysis)
- `max_tokens` (integer): Maximum tokens in the response
- `message` (string, required): The message or question to send to the AI
- `system_prompt` (string): Optional system prompt to set context for the AI

### `adorbis_code` (~138 tokens)

Generate, review, debug, or explain code using Adorbis AI's code-optimized department. Routes to the best available coding model (DeepSeek Coder, Claude Sonnet, Gemini etc.) automatically.

Input parameters:

- `code` (string): Existing code to review, debug, or build upon
- `language` (string): Programming language (e.g. python, typescript, rust, go)
- `max_tokens` (integer): Maximum tokens in the response
- `task` (string, required): The coding task — e.g. 'write a Python function to parse JSON', 'review this code for bugs', 'explain what this does'

### `adorbis_reason` (~79 tokens)

Solve complex problems requiring multi-step reasoning, math, logic, or analysis using Adorbis AI's reasoning department. Routes to frontier reasoning models automatically.

Input parameters:

- `context` (string): Additional context or data to consider
- `max_tokens` (integer)
- `problem` (string, required): The problem, question, or task requiring deep reasoning or analysis

### `adorbis_write` (~109 tokens)

Generate long-form written content — documentation, articles, emails, reports, summaries — using Adorbis AI's writing-optimized department.

Input parameters:

- `content` (string): Source material, outline, or context for the writing task
- `max_tokens` (integer)
- `task` (string, required): The writing task — e.g. 'write a README for my project', 'draft an email to investors', 'summarize this document'
- `tone` (string): Tone of the written output

### `adorbis_balance` (~36 tokens)

Check your Adorbis AI credit balance, current plan, and account status. Useful for monitoring usage and knowing when to top up.

### `adorbis_models` (~35 tokens)

List all available Adorbis AI departments and what they route to. Use this to understand which department to use for different tasks.

### `adorbis_multi_turn` (~74 tokens)

Have a multi-turn conversation with Adorbis AI by passing the full message history. Use this when you need to maintain context across multiple exchanges.

Input parameters:

- `department` (string)
- `max_tokens` (integer)
- `messages` (array, required): Full conversation history as an array of {role, content} objects

## Diagnostics

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

## Score history

- 2026-08-03: 63
- 2026-08-02: 63
- 2026-08-01: 40
- 2026-07-31: 20
- 2026-07-30: 6
- 2026-07-28: 45
- 2026-07-27: 45

## Links

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