MCP 호환 에이전트를 위한 AI 기반 커버레터 생성 도구입니다. 구직 활동을 위한 최초의 프로덕션 MCP 서버입니다.
도구 | 설명 |
| 채용 공고에서 15개 이상의 구조화된 필드 추출 |
| 후보자 이력서와 채용 정보 매칭 |
| 스토리 기반 커버레터 생성 |
| 커버레터 점수 산정 및 평가 |
| 사용 가능한 서사적 원형 및 어조 목록 확인 |
Related MCP server: laddro-career-mcp
~/Library/Application Support/Claude/claude_desktop_config.json에 추가하세요:
{
"mcpServers": {
"storylenses": {
"command": "npx",
"args": ["-y", "@storylenses/mcp-server"],
"env": {
"STORYLENSES_API_KEY": "your-api-key"
}
}
}
}.cursor/mcp.json 또는 VS Code MCP 설정에 추가하세요:
{
"mcp": {
"servers": {
"storylenses": {
"command": "npx",
"args": ["-y", "@storylenses/mcp-server"],
"env": {
"STORYLENSES_API_KEY": "your-api-key"
}
}
}
}
}docker run -e STORYLENSES_API_KEY=your-key ghcr.io/benediktgirz/storylenses-mcp-server변수 | 필수 여부 | 설명 |
| 예 | storylenses.app/mcp에서 발급받은 API 키 |
| 아니오 | API 기본 URL (기본값: https://www.storylenses.app) |
// 1. Analyze job posting
const job = await callTool("storylenses_analyze_job", {
job_url: "https://linkedin.com/jobs/view/12345"
});
// 2. Match candidate profile
const match = await callTool("storylenses_match_profile", {
job_analysis: job,
candidate_cv: "Senior engineer with 7 years React experience..."
});
// 3. Generate cover letter
const letter = await callTool("storylenses_generate_letter", {
job_analysis: job,
match_data: match,
candidate_name: "Alex Chen",
archetype: match.suggestedArchetype
});
// 4. Quality check
const score = await callTool("storylenses_quality_check", {
letter_text: letter.letter_text,
job_analysis: job
});npm install
STORYLENSES_API_KEY=your-key npm teststorylenses.app/mcp를 방문하여 API 키를 발급받으세요.
무료: 월 10회 생성
개발자 ($29/월): 월 200회 생성
스케일 ($99/월): 월 1,000회 생성
MIT
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
v0.1.0storylenses_analyze_jobstorylenses_generate_letterstorylenses_list_archetypesstorylenses_match_profilestorylenses_quality_checkScored across 5 tools
Each tool occupies a distinct stage in the workflow pipeline: analyze_job extracts job data, match_profile compares candidate to job, list_archetypes provides style options, generate_letter creates output, and quality_check validates results. No functional overlap exists between tools.
All tools follow an identical storylenses_verb_noun pattern with consistent snake_case formatting, clear action-oriented verbs (analyze, generate, list, match, check), and uniform prefixing that prevents collisions with other servers.
Five tools is ideally suited for this focused domain, covering the complete cover letter lifecycle from input analysis and matching through generation and validation without bloat, redundancies, or missing critical steps.
Provides comprehensive coverage of the generation workflow including analysis, matching, archetype selection, creation, and scoring; minor gap requires regenerating from scratch rather than refining existing letters based on quality feedback.
Generate tailored, ATS-optimized resume PDFs and cover letters from a job description, over MCP.
Job application tracker for developers - AI agents write over MCP, you review in a dashboard.
Tailored, graded job applications: a CV, cover letter and form answers built per vacancy.
AI job search MCP — fact-checked jobs, application tracker, alerts. ChatGPT, Claude, Cursor.
