# io.github.dgtalquantumleap-ai/ebenova-fieldops (npm · @ebenova/fieldops-mcp)

WhatsApp booking, staff coordination, and invoice recovery for services.

- Trust score: 63/100 (medium)
- Change this week: +23
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `@ebenova/fieldops-mcp`: 63/100 (this document), [markdown](https://verifymcp.io/servers/dgtalquantumleap-ai-ebenova-fieldops/ebenova-fieldops-mcp.md), [page](https://verifymcp.io/servers/dgtalquantumleap-ai-ebenova-fieldops/ebenova-fieldops-mcp)

## Channel facts

- Registry: `npm`
- Package: `@ebenova/fieldops-mcp`
- 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**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (110 of 114), 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 (110 of 114), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 19/100
  - Repository check failed: the declared repository URL returned HTTP 404.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 111 days ago).
  - Security-disclosure policy not yet verified: we couldn't inspect the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 403 tokens (~80/item across 5 items; 5 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 dgtalquantumleap-ai-ebenova-fieldops -- npx -y @ebenova/fieldops-mcp
```

### Codex

```bash
codex mcp add dgtalquantumleap-ai-ebenova-fieldops -- npx -y @ebenova/fieldops-mcp
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add dgtalquantumleap-ai-ebenova-fieldops --command npx --arg -y --arg @ebenova/fieldops-mcp
```

### Hermes

```yaml
mcp_servers:
  dgtalquantumleap-ai-ebenova-fieldops:
    command: "npx"
    args: ["-y", "@ebenova/fieldops-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "dgtalquantumleap-ai-ebenova-fieldops": {
      "command": "npx",
      "args": [
        "-y",
        "@ebenova/fieldops-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, +4)

- [functional improvement] Stability: unverified → 0.27

### 2026-08-02 (score 59, +59)

- [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: not enough scan history yet (needs a 30-day window).
- [functional improvement] Tool coverage: unverified → 100
- [functional improvement] License: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Schema quality: unverified → good
- [functional] Licence: MIT

### 2026-07-31 (score 0, −22)

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

### 2026-07-30 (score 22, +4)

- [security regression] Malware scan: pass → unverified
- [functional improvement] Tool coverage: unverified → 100

### 2026-07-28 (score 18, −22)

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

### 2026-07-27 (score 40)

First indexed and scored.

## MCP tools (5)

### `check_availability` (~56 tokens)

Check available booking slots for a given date. Returns booked and available time slots.

Input parameters:

- `business_id` (number): Business ID (optional — uses default if not provided)
- `date` (string, required): Date in YYYY-MM-DD format

### `book_service` (~136 tokens)

Book a cleaning or service appointment. Creates the job, assigns staff, sends WhatsApp confirmation with payment link.

Input parameters:

- `address` (string, required): Full service address
- `business_id` (number): Business ID
- `customer_name` (string, required): Full name of the customer
- `customer_phone` (string, required): Customer WhatsApp number in E.164 format e.g. +14031234567
- `date` (string, required): Date in YYYY-MM-DD format
- `service` (string, required): Service name e.g. "Deep Clean", "Standard Clean"
- `time` (string, required): Time in HH:MM 24h format

### `send_payment_link` (~86 tokens)

Generate and send a payment link to a customer via WhatsApp. Supports CAD (Polar/Stripe) and NGN (OxaPay).

Input parameters:

- `amount` (number, required): Amount to charge
- `currency` (string): Currency
- `customer_phone` (string, required): Customer WhatsApp number in E.164 format
- `job_id` (number, required): Job ID to generate payment for

### `recover_invoice` (~79 tokens)

Send an escalating WhatsApp payment recovery message for an unpaid invoice. Step 1=polite reminder, 2=firm follow-up, 3=final notice.

Input parameters:

- `invoice_id` (number, required): Invoice ID
- `step` (number): Escalation step: 1=polite, 2=firm, 3=final

### `send_staff_briefing` (~46 tokens)

Send a WhatsApp job briefing to the assigned staff member with service details, customer info, and location.

Input parameters:

- `job_id` (number, required): Job ID to send briefing for

## Diagnostics

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

## Score history

- 2026-08-03: 63
- 2026-08-02: 59
- 2026-08-01: 0
- 2026-07-31: 0
- 2026-07-30: 22
- 2026-07-28: 18
- 2026-07-27: 40

## Links

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