# io.github.mdfifty50-boop/domain-expertise (npm · domain-expertise-mcp)

Inject deep domain knowledge into any AI agent

- Trust score: 63/100 (medium)
- Change this week: +19
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `domain-expertise-mcp`: 63/100 (this document), [markdown](https://verifymcp.io/servers/mdfifty50-boop-domain-expertise/domain-expertise-mcp.md), [page](https://verifymcp.io/servers/mdfifty50-boop-domain-expertise/domain-expertise-mcp)

## Channel facts

- Registry: `npm`
- Package: `domain-expertise-mcp`
- Version: `0.1.3`
- 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 (97 of 101), 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 (97 of 101), 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 101 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 45/100
  - 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 622 tokens (~69/item across 9 items; 8 tools + 1 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 23/100
  - Stability observed for 7 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 mdfifty50-boop-domain-expertise -- npx -y domain-expertise-mcp
```

### Codex

```bash
codex mcp add mdfifty50-boop-domain-expertise -- npx -y domain-expertise-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mdfifty50-boop-domain-expertise": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "domain-expertise-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add mdfifty50-boop-domain-expertise --command npx --arg -y --arg domain-expertise-mcp
```

### Hermes

```yaml
mcp_servers:
  mdfifty50-boop-domain-expertise:
    command: "npx"
    args: ["-y", "domain-expertise-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "mdfifty50-boop-domain-expertise": {
      "command": "npx",
      "args": [
        "-y",
        "domain-expertise-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 63, +1)

No change was recorded against any check on this day. Stability & Change Management went from 20 to 23. That category is still filling its 30-day observation window: 6 days of observed history at the previous scan, 7 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-02 (score 62, +43)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [functional regression] Schema quality: 0 → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Stability: unverified → 0.20
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional] Licence: MIT

### 2026-08-01 (score 19, +14)

- [functional improvement] Tool coverage: unverified → 100
- [functional improvement] Schema quality: unverified → 0

### 2026-07-31 (score 5, −39)

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

### 2026-07-27 (score 44)

First indexed and scored.

## MCP tools (8)

### `health_check` (~20 tokens)

Returns server health, uptime, version, and usage stats

### `get_domain_expertise` (~133 tokens)

Get structured professional expertise for a specific domain. Returns decision frameworks, key principles, common pitfalls, and expert-level reasoning patterns that transform a generalist AI agent into a domain specialist.

Input parameters:

- `depth` (string): Depth of expertise: overview (5min briefing), practitioner (working knowledge), expert (deep specialist)
- `domain` (string, required): Professional domain to get expertise for
- `focus_area` (string): Specific sub-area to focus on (e.g., "transfer pricing" within tax, "sharia compliance" within islamic_finance)
- `region` (string): Regional context for jurisdiction-specific knowledge

### `list_available_domains` (~20 tokens)

List all available professional domains with descriptions and coverage depth.

### `get_decision_tree` (~98 tokens)

Get a structured decision tree for a specific professional scenario. Returns step-by-step decision logic that an expert would follow.

Input parameters:

- `domain` (string, required): Professional domain
- `jurisdiction` (string): Jurisdiction for regulatory decisions
- `scenario` (string, required): The specific scenario or question to get a decision tree for (e.g., "Should I register for VAT?", "Is this transaction Sharia-compliant?", "How to classify this lease?")

### `get_terminology` (~76 tokens)

Get professional terminology and definitions for a domain. Returns terms with definitions, usage context, and common misunderstandings.

Input parameters:

- `domain` (string, required): Professional domain
- `language` (string): Language for definitions
- `terms` (array): Specific terms to define. If empty, returns the top 20 essential terms for the domain.

### `get_regulatory_context` (~96 tokens)

Get regulatory context for a domain in a specific jurisdiction. Returns applicable laws, regulatory bodies, compliance requirements, and recent changes.

Input parameters:

- `domain` (string, required): Professional domain
- `jurisdiction` (string, required): Country or region code (e.g., SA, AE, KW, US, UK, EU)
- `topic` (string): Specific regulatory topic (e.g., "anti-money laundering", "data protection", "employment contracts")

### `assess_complexity` (~80 tokens)

Assess the complexity of a professional task and recommend whether it needs a generalist or specialist agent. Returns complexity score, required expertise level, and risk factors.

Input parameters:

- `domain` (string, required): Professional domain
- `stakes` (string): What is at stake if the task is done incorrectly
- `task_description` (string, required): Description of the task to assess

### `get_professional_workflow` (~93 tokens)

Get the standard professional workflow for a task. Returns the steps an experienced professional would follow, including quality checkpoints and common shortcuts that cause problems.

Input parameters:

- `domain` (string, required): Professional domain
- `experience_level` (string): Experience level to calibrate the workflow for
- `task` (string, required): The professional task (e.g., "financial audit", "contract review", "clinical diagnosis", "property valuation")

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/mdfifty50-boop-domain-expertise/domain-expertise-mcp#diagnostics

## Score history

- 2026-08-03: 63
- 2026-08-02: 62
- 2026-08-01: 19
- 2026-07-31: 5
- 2026-07-30: 44
- 2026-07-28: 44
- 2026-07-27: 44

## Links

- npm package: https://www.npmjs.com/package/domain-expertise-mcp
- Socket report: https://socket.dev/npm/package/domain-expertise-mcp
- Repository: https://github.com/mdfifty50-boop/domain-expertise-mcp
- Changelog RSS feed: https://verifymcp.io/servers/mdfifty50-boop-domain-expertise/domain-expertise-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/mdfifty50-boop-domain-expertise/domain-expertise-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/mdfifty50-boop-domain-expertise/domain-expertise-mcp