io.github.vpatser1/social-media-analytics
NPM · SOCIAL-MEDIA-ANALYTICS · SCANNED SEP 24
Profile analysis, hashtag research, content calendars, competitor benchmarks, viral scoring
Available components
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. How we score → Why this is hard to score →
Supply Chain Security98
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- No install/post-install scripts declared.Pass
- 31 of 96 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency19
- Repository check failed: no source repository is declared. See how to fix → View diagnostics → Fail
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 51 days ago).Pass
- Security-disclosure policy not yet verified: we couldn't inspect the source repository.Unverified
Schema Quality & AI Usability81
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 485 tokens (~97/item across 5 items; 5 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management100
- No destabilizing schema changes in the last 30 days.Pass
Tool Coverage100
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 100% of tool parameters carry a description.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 5 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 5 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.vpatser1/social-media-analytics MCP server?
io.github.vpatser1/social-media-analytics runs locally as an npm package, launched with npx -y social-media-analytics. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · social-media-analytics
claude mcp add vpatser1-social-media-analytics -- npx -y social-media-analytics
{
"mcpServers": {
"vpatser1-social-media-analytics": {
"command": "npx",
"args": [
"-y",
"social-media-analytics"
]
}
}
} {
"servers": {
"vpatser1-social-media-analytics": {
"command": "npx",
"args": [
"-y",
"social-media-analytics"
]
}
}
} codex mcp add vpatser1-social-media-analytics -- npx -y social-media-analytics
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"vpatser1-social-media-analytics": {
"type": "local",
"command": [
"npx",
"-y",
"social-media-analytics"
],
"enabled": true
}
}
} openclaw mcp add vpatser1-social-media-analytics --command npx --arg -y --arg social-media-analytics
mcp_servers:
vpatser1-social-media-analytics:
command: "npx"
args: ["-y", "social-media-analytics"] {
"McpServers": {
"vpatser1-social-media-analytics": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"social-media-analytics"
]
}
}
} assistant mcp add vpatser1-social-media-analytics -t stdio -c npx -a -y social-media-analytics
{
"mcpServers": {
"vpatser1-social-media-analytics": {
"command": "npx",
"args": [
"-y",
"social-media-analytics"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 24 Sept 26 +1
- Stability: 0.97 → pass security
- 22 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 −3
- Stability: pass → 0.80 functional
- 17 Sept 26 +1
- Stability: 0.97 → pass security
- 15 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 90 to 93. That category is still filling its 30-day observation window: 27 days of observed history at the previous scan, 28 at this one. The score rises as the window fills, whether or not the server changes.
- 13 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 11 Sept 26 −3
- Stability: pass → 0.80 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 24 Sept 2026 · Analysed npm/social-media-analytics@1.1.4
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | npm |
Background: How many MCP packages publish verified provenance →
Dependencies 96 packages
| Packages resolved | 96 |
|---|---|
| Stale | 31 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_competitors ~80
Analyze 2-5 competitor social media profiles. Provides side-by-side follower comparison, content strategy differences, posting frequency comparison, and engagement benchmarks.
| Name | Type | Req | Description |
|---|---|---|---|
| competitors | array | yes | Array of 2-5 competitor profile URLs or handles (e.g., ['https://twitter.com/competitor1', 'https://twitter.com/competitor2']) |
No output schema declared.
No examples provided.
analyze_hashtags ~89
Analyze hashtags for estimated popularity/volume, related hashtags, best posting times, competition level (low/medium/high), and platform-specific recommendations.
| Name | Type | Req | Description |
|---|---|---|---|
| hashtags | array | yes | 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. |
No output schema declared.
No examples provided.
analyze_profile ~97
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.
| Name | Type | Req | Description |
|---|---|---|---|
| url | string | yes | The social media profile URL to analyze (e.g., https://twitter.com/username, https://instagram.com/username, https://youtube.com/@channel) |
No output schema declared.
No examples provided.
generate_content_calendar ~125
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.
| Name | Type | Req | Description |
|---|---|---|---|
| niche | string | yes | 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. |
No output schema declared.
No examples provided.
viral_score ~94
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.
| Name | Type | Req | Description |
|---|---|---|---|
| platform | string | – | Target platform for platform-specific tips (e.g., 'twitter', 'linkedin'). If omitted, tips for all platforms are provided. |
| text | string | yes | The post text or content concept to score for virality |
No output schema declared.
No examples provided.
What is the io.github.vpatser1/social-media-analytics MCP server?
io.github.vpatser1/social-media-analytics is an MCP server listed in the public MCP registry as io.github.vpatser1/social-media-analytics. Profile analysis, hashtag research, content calendars, competitor benchmarks, viral scoring. This page covers its npm package (social-media-analytics).
Is the io.github.vpatser1/social-media-analytics MCP server safe to use?
io.github.vpatser1/social-media-analytics scores 80 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 24 September 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.vpatser1/social-media-analytics MCP server expose?
io.github.vpatser1/social-media-analytics exposes 5 tools: analyze_profile, analyze_hashtags, generate_content_calendar, analyze_competitors, viral_score. Their descriptions and schemas cost roughly 485 tokens of context every time the server is loaded.
Is the io.github.vpatser1/social-media-analytics MCP server still maintained?
io.github.vpatser1/social-media-analytics is still listed as active in the MCP registry. We last reached this channel on 24 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the io.github.vpatser1/social-media-analytics MCP server under?
io.github.vpatser1/social-media-analytics declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.