io.github.benediktgirz/storylenses

skills: {'id': 'storylenses_analyze_job', 'name': 'storylenses_analyze_job', 'description': 'Extract 15+ structured fields from a job posting — role requirements, company challenges, culture signals, recruiter priorities', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'storylenses_match_profile', 'name': 'storylenses_match_profile', 'description': 'Match a candidate profile/CV against job data — identifies fit score, matching skills, career gaps, and strongest narrative angle', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'storylenses_generate_letter', 'name': 'storylenses_generate_letter', 'description': 'Generate a story-driven cover letter using matched data and a narrative archetype. Supports en/de/es/pt.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'storylenses_quality_check', 'name': 'storylenses_quality_check', 'description': 'Score and evaluate a cover letter for relevance, narrative strength, and completeness. Returns score 0-100 with actionable feedback.', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}, {'id': 'storylenses_list_archetypes', 'name': 'storylenses_list_archetypes', 'description': 'Return available narrative archetypes with descriptions so the agent or user can select a style', 'tags': [], 'examples': None, 'input_modes': None, 'output_modes': None}; uptime_30d 1.0%; p95 1770.3ms; conformance: pass

How to connect

https://www.storylenses.app/api/mcp/endpoint

curl -X POST https://www.storylenses.app/api/mcp/endpoint \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{}}'