LNA-Report MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| analyze_lnaA | LNA CSV 파일을 분석하여 팀별 역량 현황을 반환합니다. Args: csv_path: LNA CSV 파일 경로 team_config: 팀 설정 JSON (선택). 예: {"Team1": {"name": "구축팀", "leader": "최지석", "mission": "클라우드 구축/운영"}} |
| generate_reportB | LNA CSV 파일을 분석하여 역량강화 평가 분석 리포트 PPT를 생성합니다. Args: csv_path: LNA CSV 파일 경로 output_path: 생성할 PPT 파일 경로 team_config: 팀 설정 JSON. 예: {"Team1": {"name": "구축팀", "leader": "최지석", "mission": "클라우드 구축/운영"}} company_name: 고객사명 |
| get_team_scoresA | 특정 팀 또는 전체의 과정별 역량 점수를 반환합니다. Args: csv_path: LNA CSV 파일 경로 team_name: 팀명 (비어있으면 전체) |
| get_recommendationsB | 팀별 교육 추천 과정을 반환합니다. Args: csv_path: LNA CSV 파일 경로 team_name: 팀명 (비어있으면 전체) |
| get_individual_assessmentsB | 개인별 역량 평가 결과를 반환합니다 (이름, 팀, 평균점수, 강점3개, 약점3개, 추천교육3개). Args: csv_path: LNA CSV 파일 경로 team_config: 팀 설정 JSON (선택) |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Tools have distinct purposes: analysis, report generation, individual assessments, recommendations, and team scores. Minor potential overlap between 'analyze_lna' (team capability status) and 'get_team_scores' (course-specific scores) but descriptions clarify differences.
All tools follow a consistent verb_noun snake_case pattern (analyze_lna, generate_report, get_individual_assessments, get_recommendations, get_team_scores). No deviations.
Server has 5 tools, well-scoped for its purpose of analyzing LNA data and generating reports and recommendations. Not too few or too many.
Covers main operations: analysis, report generation, individual assessments, recommendations, and team scores. Missing a tool to manage team configurations or validate inputs, but not essential for core functionality.