io.github.MUSE-CODE-SPACE/content-genie
NPM · CONTENT-GENIE-MCP · SCANNED SEP 20
AI Content Creation Assistant for Korean creators - Trend analysis & SEO
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
- 36 of 130 dependencies flagged as unhealthy (1 deprecated). View diagnostics → Partial
Provenance & Transparency48
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- 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 75 days ago).Pass
- Publishes a security disclosure policy (SECURITY.md).Pass
Schema Quality & AI Usability68
- AI-judged instruction clarity (good).Pass
- Tool/resource definitions use about 1632 tokens (~96/item across 17 items; 17 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management93
- Stability observed for 28 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
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 17 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 17 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.MUSE-CODE-SPACE/content-genie MCP server?
io.github.MUSE-CODE-SPACE/content-genie runs locally as an npm package, launched with npx -y content-genie-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
npm · content-genie-mcp
claude mcp add muse-code-space-content-genie -- npx -y content-genie-mcp
{
"mcpServers": {
"muse-code-space-content-genie": {
"command": "npx",
"args": [
"-y",
"content-genie-mcp"
]
}
}
} {
"servers": {
"muse-code-space-content-genie": {
"command": "npx",
"args": [
"-y",
"content-genie-mcp"
]
}
}
} codex mcp add muse-code-space-content-genie -- npx -y content-genie-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"muse-code-space-content-genie": {
"type": "local",
"command": [
"npx",
"-y",
"content-genie-mcp"
],
"enabled": true
}
}
} openclaw mcp add muse-code-space-content-genie --command npx --arg -y --arg content-genie-mcp
mcp_servers:
muse-code-space-content-genie:
command: "npx"
args: ["-y", "content-genie-mcp"] {
"McpServers": {
"muse-code-space-content-genie": {
"Transport": "stdio",
"Command": "npx",
"Arguments": [
"-y",
"content-genie-mcp"
]
}
}
} assistant mcp add muse-code-space-content-genie -t stdio -c npx -a -y content-genie-mcp
{
"mcpServers": {
"muse-code-space-content-genie": {
"command": "npx",
"args": [
"-y",
"content-genie-mcp"
]
}
}
} 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.
- 19 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 17 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 16 Sept 26 −3
- Stability: pass → 0.80 functional
- 15 Sept 26 0
- Stability: 0.97 → pass security
- 14 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 93 to 97. That category is still filling its 30-day observation window: 28 days of observed history at the previous scan, 29 at this one. The score rises as the window fills, whether or not the server changes.
- 12 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 87 to 90. That category is still filling its 30-day observation window: 26 days of observed history at the previous scan, 27 at this one. The score rises as the window fills, whether or not the server changes.
- 10 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 80 to 83. That category is still filling its 30-day observation window: 24 days of observed history at the previous scan, 25 at this one. The score rises as the window fills, whether or not the server changes.
- 9 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 20 Sept 2026 · Analysed npm/content-genie-mcp@2.9.4
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 130 packages
| Packages resolved | 130 |
|---|---|
| Deprecated | 1 |
| Stale | 36 |
| 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_competitor_content ~73
경쟁사 콘텐츠를 심층 분석하여 키워드, 구조, 전략 인사이트를 도출합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| analysis_depth | string | – | 분석 깊이 |
| extract_strategy | boolean | – | 콘텐츠 전략 추출 |
| urls | array | yes | 분석할 URL 목록 (최대 10개) |
No output schema declared.
No examples provided.
analyze_influencer_collab ~96
인플루언서 협업 전략 및 적합도를 분석합니다. 브랜드-인플루언서 매칭 가이드를 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| brand_category | string | yes | 브랜드/제품 카테고리 |
| budget_range | string | – | 예산 범위 |
| campaign_goal | string | – | 캠페인 목표 |
| target_audience | string | yes | 타겟 오디언스 |
No output schema declared.
No examples provided.
analyze_news_trends ~67
실시간 한국 뉴스를 분석하여 트렌딩 토픽과 콘텐츠 기회를 발견합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | 뉴스 카테고리 |
| extract_keywords | boolean | – | 핵심 키워드 추출 |
| time_range | string | – | 시간 범위 |
No output schema declared.
No examples provided.
analyze_seo_keywords ~113
키워드의 SEO 잠재력을 심층 분석하고 다음/네이버/구글 최적화 전략을 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| competitor_analysis | boolean | – | 경쟁 분석 포함 |
| include_longtail | boolean | – | 롱테일 키워드 포함 |
| include_questions | boolean | – | 관련 질문 키워드 포함 |
| keyword | string | yes | 분석할 메인 키워드 |
| search_engine | string | – | 검색엔진 (daum, naver, google, all) |
No output schema declared.
No examples provided.
analyze_thumbnail ~109
YouTube/Instagram 썸네일 컨셉을 분석하고 개선점을 제안합니다. 클릭률 최적화 가이드를 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| content_category | string | – | 콘텐츠 카테고리 (예: 먹방, 뷰티, 테크) |
| platform | string | yes | 플랫폼 |
| thumbnail_description | string | yes | 썸네일 설명 (예: 놀란 표정의 사람, 음식 클로즈업) |
| title | string | yes | 콘텐츠 제목 |
No output schema declared.
No examples provided.
benchmark_content_performance ~74
업계/카테고리별 콘텐츠 성과 벤치마크 데이터를 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | yes | 콘텐츠 카테고리 (예: 뷰티, 테크, 푸드) |
| metric | string | – | 측정 지표 |
| platform | string | yes | 플랫폼 |
No output schema declared.
No examples provided.
create_content_calendar ~135
한국 기념일, 시즌 이벤트, 쇼핑 시즌을 반영한 콘텐츠 캘린더를 생성합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| content_mix | string | – | 콘텐츠 믹스 전략 |
| duration_weeks | number | – | 캘린더 기간 (주 단위). 기본값: 4 |
| include_events | boolean | – | 기념일/이벤트 반영. 기본값: true |
| platforms | array | – | 타겟 플랫폼 목록 |
| posts_per_week | number | – | 주당 포스팅 수. 기본값: 5 |
| topics | array | yes | 콘텐츠 주제 목록 |
No output schema declared.
No examples provided.
generate_ab_test_variants ~69
콘텐츠의 A/B 테스트 변형을 자동으로 생성합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| content_element | string | yes | 테스트할 요소 |
| original_content | string | yes | 원본 콘텐츠 (제목, 설명 등) |
| variants_count | number | – | 변형 수. 기본값: 5 |
No output schema declared.
No examples provided.
generate_content_ideas ~144
주제와 플랫폼에 맞는 콘텐츠 아이디어를 생성합니다. 트렌드와 시즌을 반영한 추천을 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| content_type | string | – | 콘텐츠 유형 |
| count | number | – | 생성할 아이디어 수. 기본값: 15 |
| include_trends | boolean | – | 트렌드 기반 아이디어 포함. 기본값: true |
| target_audience | string | – | 타겟 오디언스 (예: 20대 여성, 직장인, MZ세대) |
| tone | string | – | 톤앤매너 |
| topic | string | yes | 콘텐츠 주제 또는 키워드 |
No output schema declared.
No examples provided.
generate_hashtag_strategy ~116
플랫폼별 최적화된 해시태그 전략을 생성합니다. 인기도, 경쟁도, 관련성을 분석합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| count | number | – | 해시태그 수. 기본값: 30 |
| include_english | boolean | – | 영어 해시태그 포함. 기본값: true |
| include_korean | boolean | – | 한국어 해시태그 포함. 기본값: true |
| platform | string | yes | 타겟 플랫폼 |
| topic | string | yes | 콘텐츠 주제 |
No output schema declared.
No examples provided.
generate_script_outline ~101
유튜브, 팟캐스트, 릴스용 스크립트 아웃라인을 자동 생성합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| duration | string | – | 예상 길이 (예: 10분, 30초) |
| format | string | yes | 콘텐츠 형식 |
| include_hooks | boolean | – | 오프닝 훅 포함. 기본값: true |
| style | string | – | 스타일 |
| topic | string | yes | 콘텐츠 주제 |
No output schema declared.
No examples provided.
get_korean_trends ~107
실시간 한국 트렌드 키워드를 분석합니다. 네이버, 다음, 구글, 유튜브에서 인기 검색어와 트렌드를 수집합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | 카테고리 필터 |
| limit | number | – | 가져올 트렌드 수. 기본값: 20 |
| platform | string | – | 분석할 플랫폼 (naver, google, youtube, daum, zum, all). 기본값: all |
No output schema declared.
No examples provided.
get_seasonal_content_guide ~63
다가오는 시즌/이벤트에 맞는 콘텐츠 가이드를 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | 이벤트 카테고리 |
| days_ahead | number | – | 앞으로 며칠간의 이벤트. 기본값: 30 |
No output schema declared.
No examples provided.
optimize_title_hashtags ~99
AI 기반으로 콘텐츠 제목을 최적화하고 플랫폼별 해시태그를 생성합니다. CTR 예측과 A/B 테스트 변형을 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| keywords | array | – | 포함할 키워드 목록 |
| language | string | – | 언어 스타일 |
| original_title | string | yes | 원본 제목 또는 주제 |
| platform | string | – | 타겟 플랫폼 |
| style | string | – | 제목 스타일 |
No output schema declared.
No examples provided.
predict_content_performance ~110
콘텐츠의 예상 성과를 AI 기반으로 예측합니다. 조회수, 참여율, 공유 가능성을 분석합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| category | string | – | 카테고리 |
| description | string | – | 콘텐츠 설명 |
| has_trending_topic | boolean | – | 트렌딩 주제 포함 여부 |
| platform | string | yes | 플랫폼 |
| posting_time | string | – | 게시 예정 시간 (예: 평일 저녁 7시) |
| title | string | yes | 콘텐츠 제목 |
No output schema declared.
No examples provided.
predict_viral_score ~89
AI 기반 바이럴 가능성 예측. 감정 분석, 트렌드 매칭, 플랫폼 최적화 점수를 제공합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| content_type | string | – | 콘텐츠 형식 |
| description | string | – | 콘텐츠 설명 |
| hashtags | array | – | 사용할 해시태그 |
| platform | string | – | 타겟 플랫폼 |
| title | string | yes | 콘텐츠 제목 |
No output schema declared.
No examples provided.
repurpose_content ~67
하나의 콘텐츠를 여러 플랫폼용으로 변환하는 전략을 제안합니다.
| Name | Type | Req | Description |
|---|---|---|---|
| original_content | string | yes | 원본 콘텐츠 (제목 또는 설명) |
| source_platform | string | yes | 원본 플랫폼 |
| target_platforms | array | yes | 변환할 플랫폼 목록 |
No output schema declared.
No examples provided.
What is the io.github.MUSE-CODE-SPACE/content-genie MCP server?
io.github.MUSE-CODE-SPACE/content-genie is an MCP server listed in the public MCP registry as io.github.MUSE-CODE-SPACE/content-genie. AI Content Creation Assistant for Korean creators - Trend analysis & SEO. This page covers its npm package (content-genie-mcp).
Is the io.github.MUSE-CODE-SPACE/content-genie MCP server safe to use?
io.github.MUSE-CODE-SPACE/content-genie scores 82 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 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.MUSE-CODE-SPACE/content-genie MCP server expose?
io.github.MUSE-CODE-SPACE/content-genie exposes 17 tools: get_korean_trends, generate_content_ideas, optimize_title_hashtags, analyze_seo_keywords, create_content_calendar, and 12 more. Their descriptions and schemas cost roughly 1,632 tokens of context every time the server is loaded.
Is the io.github.MUSE-CODE-SPACE/content-genie MCP server still maintained?
io.github.MUSE-CODE-SPACE/content-genie is still listed as active in the MCP registry. We last reached this channel on 20 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.MUSE-CODE-SPACE/content-genie MCP server under?
io.github.MUSE-CODE-SPACE/content-genie declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.