# io.github.dingdawg/dingdawg-sales-agent (npm · dingdawg-sales-agent)

AI prospect research, outreach drafting, lead scoring & pipeline tracking.

- Trust score: 68/100 (medium)
- Change this week: +22
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-04

## Components

- npm · `dingdawg-sales-agent`: 68/100 (this document), [markdown](https://verifymcp.io/servers/dingdawg-dingdawg-sales-agent/dingdawg-sales-agent.md), [page](https://verifymcp.io/servers/dingdawg-dingdawg-sales-agent/dingdawg-sales-agent)

## Channel facts

- Registry: `npm`
- Package: `dingdawg-sales-agent`
- Version: `2.0.6`
- 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 2026-08-04.

- **Supply Chain Security**: 83/100
  - No malware found by supply-chain analysis.
  - CVE check failed: a known medium-severity CVE affects hono 4.12.33, reached via @modelcontextprotocol/sdk > hono. A fixed version is available.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (95 of 99), 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 19 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 71/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 414 tokens (~103/item across 4 items; 4 tools + 0 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 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 dingdawg-dingdawg-sales-agent -- npx -y dingdawg-sales-agent
```

### Codex

```bash
codex mcp add dingdawg-dingdawg-sales-agent -- npx -y dingdawg-sales-agent
```

### opencode

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

### OpenClaw

```bash
openclaw mcp add dingdawg-dingdawg-sales-agent --command npx --arg -y --arg dingdawg-sales-agent
```

### Hermes

```yaml
mcp_servers:
  dingdawg-dingdawg-sales-agent:
    command: "npx"
    args: ["-y", "dingdawg-sales-agent"]
```

### Other

```json
{
  "mcpServers": {
    "dingdawg-dingdawg-sales-agent": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-sales-agent"
      ]
    }
  }
}
```

## 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.

### 2026-08-04 (score 68, 0)

- [security regression] CVE-2026-69207 affects this package: medium
- [security regression] Known CVEs: partial → fail

### 2026-08-02 (score 68, +47)

- [security regression] Provenance: unverified → fail
- [security improvement] Install scripts: unverified → pass
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Malware scan: unverified → pass
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Stability: unverified → 0.23
- [functional improvement] Schema quality: unverified → good
- [functional improvement] License: unverified → pass
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional] Licence: MIT

### 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 (4)

### `prospect_research` (~81 tokens)

Research a company or person for sales context. Returns: overview, key signals, pain points, recommended approach. FREE: 20 lookups/day. Deep LLM-powered research available with API key.

Input parameters:

- `company` (string, required): Company name to research
- `contact_name` (string): Contact person's name
- `industry` (string): Industry for context

### `draft_outreach` (~101 tokens)

Generate a personalized cold email or LinkedIn message with follow-up sequence. CAN-SPAM compliant. FREE: 10 drafts/day. LLM-powered personalization available with API key.

Input parameters:

- `channel` (string, required): Outreach channel
- `company` (string, required): Company name
- `context` (string): Additional context about the prospect
- `prospect_name` (string, required): Name of the prospect
- `value_prop` (string, required): Your value proposition or what you're selling

### `qualify_lead` (~94 tokens)

Score a lead 0-100 against your Ideal Customer Profile (ICP). Returns: score, grade, reasoning, recommended next action. FREE: 30 qualifications/day. Deep LLM qualification available with API key.

Input parameters:

- `company` (string, required): Company name
- `contact_title` (string, required): Contact's job title
- `industry` (string, required): Industry
- `signals` (string): Any known buying signals or context

### `track_pipeline` (~138 tokens)

Log and track your sales pipeline locally. Add deals, update stages, view summary. Stored in ~/.dingdawg/sales/pipeline.json. FREE: unlimited.

Input parameters:

- `action` (string, required): Pipeline action
- `company` (string): Company name (for add/update)
- `contact` (string): Contact name (for add)
- `deal_id` (string): Deal ID (for update)
- `notes` (string): Deal notes
- `stage` (string): Deal stage: prospecting, qualified, proposal, negotiation, closed-won, closed-lost
- `value` (number): Deal value in dollars (for add/update)

## Diagnostics

Captured diagnostic sections: Provenance, Vulnerabilities, Dependencies. The full working is on the page: https://verifymcp.io/servers/dingdawg-dingdawg-sales-agent/dingdawg-sales-agent#diagnostics

## Score history

- 2026-08-04: 68
- 2026-08-03: 68
- 2026-08-02: 68
- 2026-08-01: 21
- 2026-07-31: 21
- 2026-07-30: 46
- 2026-07-28: 46
- 2026-07-27: 46

## Links

- npm package: https://www.npmjs.com/package/dingdawg-sales-agent
- Socket report: https://socket.dev/npm/package/dingdawg-sales-agent
- Repository: https://github.com/dingdawg/dingdawg-agent-1
- Changelog RSS feed: https://verifymcp.io/servers/dingdawg-dingdawg-sales-agent/dingdawg-sales-agent/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/dingdawg-dingdawg-sales-agent/dingdawg-sales-agent/changelog.json
- HTML version of this page: https://verifymcp.io/servers/dingdawg-dingdawg-sales-agent/dingdawg-sales-agent