# io.github.vpatser1/social-media-analytics (npm · social-media-analytics)

Profile analysis, hashtag research, content calendars, competitor benchmarks, viral scoring

- Trust score: 60/100 (medium)
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-07

## Components

- npm · `social-media-analytics`: 60/100 (this document), [markdown](https://verifymcp.io/servers/vpatser1-social-media-analytics/social-media-analytics.md), [page](https://verifymcp.io/servers/vpatser1-social-media-analytics/social-media-analytics)

## Channel facts

- Registry: `npm`
- Package: `social-media-analytics`
- Version: `1.1.4`
- 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 2026-08-07.

- **Supply Chain Security**: 87/100
  - No malware found by supply-chain analysis.
  - Known CVEs were checked across the 95 of 99 dependencies we could resolve, so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Dependency health was assessed across the 95 of 99 dependencies we could resolve, so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 19/100
  - Repository check failed: no source repository is declared.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 3 days ago).
  - Security-disclosure policy not yet verified: we couldn't inspect the source repository.
- **Schema Quality & AI Usability**: 77/100
  - AI-judged instruction clarity (excellent).
  - Tool/resource definitions use about 485 tokens (~97/item across 5 items; 5 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**: 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.

**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 vpatser1-social-media-analytics -- npx -y social-media-analytics
```

### Codex

```bash
codex mcp add vpatser1-social-media-analytics -- npx -y social-media-analytics
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "vpatser1-social-media-analytics": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "social-media-analytics"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add vpatser1-social-media-analytics --command npx --arg -y --arg social-media-analytics
```

### Hermes

```yaml
mcp_servers:
  vpatser1-social-media-analytics:
    command: "npx"
    args: ["-y", "social-media-analytics"]
```

### Other

```json
{
  "mcpServers": {
    "vpatser1-social-media-analytics": {
      "command": "npx",
      "args": [
        "-y",
        "social-media-analytics"
      ]
    }
  }
}
```

## 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 60)

First indexed and scored.

## MCP tools (5)

### `analyze_profile` (~97 tokens)

Analyze a social media profile from its URL. Extracts publicly available data including profile name, bio, follower count, post frequency estimation, engagement rate estimation, and content themes. Supports Twitter/X, Instagram, YouTube, LinkedIn, and TikTok.

Input parameters:

- `url` (string, required): The social media profile URL to analyze (e.g., https://twitter.com/username, https://instagram.com/username, https://youtube.com/@channel)

### `analyze_hashtags` (~89 tokens)

Analyze hashtags for estimated popularity/volume, related hashtags, best posting times, competition level (low/medium/high), and platform-specific recommendations.

Input parameters:

- `hashtags` (array, required): Array of hashtags to analyze (e.g., ['#ai', '#startup', '#marketing'])
- `platforms` (array): Target platforms to include recommendations for (e.g., ['twitter', 'instagram']). Defaults to all platforms.

### `generate_content_calendar` (~125 tokens)

Generate a 30-day content calendar with post ideas, captions, optimal posting times by platform, content mix recommendations (video/image/text ratios), and hashtag suggestions per post.

Input parameters:

- `niche` (string, required): The niche or topic for the content calendar (e.g., 'AI startups', 'fitness coaching', 'personal finance')
- `platforms` (array): Target platforms (e.g., ['twitter', 'linkedin', 'instagram']). Defaults to twitter, linkedin, instagram.
- `posts_per_week` (integer): Number of posts per week (1-14). Defaults to 5.

### `analyze_competitors` (~80 tokens)

Analyze 2-5 competitor social media profiles. Provides side-by-side follower comparison, content strategy differences, posting frequency comparison, and engagement benchmarks.

Input parameters:

- `competitors` (array, required): Array of 2-5 competitor profile URLs or handles (e.g., ['https://twitter.com/competitor1', 'https://twitter.com/competitor2'])

### `viral_score` (~94 tokens)

Estimate the virality potential (0-100) of a post text or concept. Identifies emotional triggers, shareability factors, and provides improvement suggestions with platform-specific optimization tips.

Input parameters:

- `platform` (string): Target platform for platform-specific tips (e.g., 'twitter', 'linkedin'). If omitted, tips for all platforms are provided.
- `text` (string, required): The post text or content concept to score for virality

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/vpatser1-social-media-analytics/social-media-analytics#diagnostics

## Score history

- 2026-08-07: 60
- 2026-08-06: 60
- 2026-08-05: 60
- 2026-08-04: 60

## Links

- npm package: https://www.npmjs.com/package/social-media-analytics
- Socket report: https://socket.dev/npm/package/social-media-analytics
- Website: https://aivp-mcp.vercel.app/
- Changelog RSS feed: https://verifymcp.io/servers/vpatser1-social-media-analytics/social-media-analytics.xml
- Changelog JSON feed: https://verifymcp.io/servers/vpatser1-social-media-analytics/social-media-analytics.json
- HTML version of this page: https://verifymcp.io/servers/vpatser1-social-media-analytics/social-media-analytics