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

AI content generation, SEO audits, campaign planning & social scheduling.

- Trust score: 67/100 (medium)
- Change this week: +21
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-03

## Components

- npm · `dingdawg-marketing-agent`: 67/100 (this document), [markdown](https://verifymcp.io/servers/dingdawg-dingdawg-marketing-agent/dingdawg-marketing-agent.md), [page](https://verifymcp.io/servers/dingdawg-dingdawg-marketing-agent/dingdawg-marketing-agent)

## Channel facts

- Registry: `npm`
- Package: `dingdawg-marketing-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 2026-08-03.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (95 of 99), 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 (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 27 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 66/100
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 464 tokens (~92/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 dingdawg-dingdawg-marketing-agent -- npx -y dingdawg-marketing-agent
```

### Codex

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

### opencode

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

### OpenClaw

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

### Hermes

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

### Other

```json
{
  "mcpServers": {
    "dingdawg-dingdawg-marketing-agent": {
      "command": "npx",
      "args": [
        "-y",
        "dingdawg-marketing-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.

### 2026-08-02 (score 67, +46)

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

### 2026-08-01 (score 21, +16)

- [functional improvement] Tool coverage: unverified → 100

### 2026-07-31 (score 5, −41)

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

### 2026-07-30 (score 46, +22)

- [functional improvement] Tool coverage: unverified → 100

### 2026-07-28 (score 24, −22)

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

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

First indexed and scored.

## MCP tools (5)

### `generate_content` (~108 tokens)

Generate marketing content. Types: blog_post, social_media, email, ad_copy. FREE: 10 generations/day (basic outline). LLM-powered full content with API key.

Input parameters:

- `audience` (string): Target audience
- `content_type` (string, required): Type of content to generate
- `keywords` (string): Target keywords (comma-separated)
- `tone` (string): Desired tone (professional, casual, persuasive, etc.)
- `topic` (string, required): Topic or subject for the content

### `seo_audit` (~79 tokens)

Audit content for SEO optimization. Analyzes keyword density, readability, structure. FREE: 10 audits/day (basic checks). Deep LLM-powered SEO analysis with API key.

Input parameters:

- `content` (string, required): Content to audit for SEO
- `target_keyword` (string): Primary target keyword
- `url` (string): Page URL for context

### `campaign_plan` (~103 tokens)

Generate a marketing campaign plan with channel strategy, content calendar, and KPI targets. FREE: 5 plans/day (basic framework). Comprehensive LLM-powered strategy with API key.

Input parameters:

- `audience` (string, required): Target audience description
- `budget` (string): Budget range
- `duration` (string): Campaign duration
- `goal` (string, required): Campaign goal (brand awareness, lead gen, product launch, etc.)
- `product` (string, required): Product or service being marketed

### `social_scheduler` (~91 tokens)

Plan and organize social media posts with platform-optimized content and best posting times. FREE: 15 schedules/day (basic planning). LLM-powered optimization with API key.

Input parameters:

- `platform` (string, required): Social media platform
- `post_count` (number): Number of posts to plan (default: 5)
- `time_zone` (string): Your timezone
- `topic` (string, required): Post topic or message

### `brand_voice` (~83 tokens)

Analyze sample content to define your brand voice. Returns tone, formality, personality traits. FREE: 5 analyses/day (basic). LLM-powered brand voice profiling with API key.

Input parameters:

- `brand_name` (string): Brand name for the analysis
- `industry` (string): Industry for benchmarking
- `sample_content` (string, required): Sample content that represents your brand voice

## Diagnostics

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

## Score history

- 2026-08-03: 67
- 2026-08-02: 67
- 2026-08-01: 21
- 2026-07-31: 5
- 2026-07-30: 46
- 2026-07-28: 24
- 2026-07-27: 46

## Links

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