Hi-AI

41 tools. 14 can modify or destroy data without limits.

1 destructive tool with no built-in limits. Policy required.

Last updated:

14 can modify or destroy data
27 read-only
41 tools total

Community server · catalogue entry verified 29/06/2026

How to control Hi-AI ↓

What Hi-AI exposes to your agents

Read (27) Write / Execute (13) Destructive / Financial (1)
Critical Risk

The most dangerous Hi-AI tools

14 of Hi-AI's 41 tools can modify, destroy, or commit something on every call — and an agent calls them with no built-in limits.

How to control Hi-AI

PolicyLayer is an MCP gateway — it sits between your AI agents and Hi-AI, and nothing reaches the server without passing your rules. These are the rules we recommend:

Deny destructive operations
{
  "delete_memory": {
    "deny_if": [
      {
        "conditions": [],
        "on_deny": "Blocked by default. Requires approval."
      }
    ]
  }
}

Destructive tools should never be available to autonomous agents without human approval.

Rate limit write operations
{
  "apply_quality_rules": {
    "limits": [
      {
        "counter": "apply_quality_rules_per_hour",
        "window": "hour",
        "max": 30,
        "scope": "grant"
      }
    ]
  }
}

Prevents bulk unintended modifications from agents caught in loops.

Cap read operations
{
  "analyze_complexity": {
    "limits": [
      {
        "counter": "analyze_complexity_per_minute",
        "window": "minute",
        "max": 60,
        "scope": "grant"
      }
    ]
  }
}

Controls API costs and prevents retry loops from exhausting upstream rate limits.

  1. Create a free account and register Hi-AI — nothing to install.
  2. Add these rules — paste them, or build them visually. Tune the limits to your setup.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
ENFORCE POLICY ON HI-AI →

Instant setup, no code required.

All 41 Hi-AI tools

WRITE 11 tools
Write apply_quality_rules 규칙 적용|표준 적용|apply rules|apply standards|follow conventions|적용해 - Apply quality rules Write apply_reasoning_framework 추론 프레임워크|체계적 분석|논리적 사고|reasoning framework|systematic analysis|logical thinking - Apply 9-step reasoning frame Write auto_save_context commit|save|checkpoint|backup|커밋|저장|compress - Auto-save and compress context Write create_memory_timeline 메모리 타임라인을 생성합니다. 키워드: 타임라인, 시간순, 히스토리, timeline, history, chronological 사용 예시: - Write create_thinking_chain 생각 과정|사고 흐름|연쇄적으로|thinking process|chain of thought|reasoning chain - Create sequential thinking chain Write create_user_stories 스토리|사용자 스토리|user story|user stories|as a user - Generate user stories from requirements Write format_as_plan 계획으로|정리해줘|체크리스트|format as plan|make a plan|organize this|checklist - Format content into clear plans Write generate_prd PRD|요구사항 문서|제품 요구사항|product requirements|requirements document|spec document - Generate Product Requirements D Write restore_session_context restore|revert|go back|복원|되돌려 - Restore previous session context Write save_memory 중요한 정보를 장기 메모리에 저장합니다. 프로젝트 결정사항, 아키텍처, 설정 등을 기록하세요. 키워드: 기억해, remember, 저장해, save, memorize, keep 💡 저장 후 l Write update_memory 수정해|업데이트|바꿔|update|change|modify|edit - Update existing memory
READ 27 tools
Read analyze_complexity 복잡도|복잡한지|complexity|how complex|난이도 - Analyze code complexity Read analyze_dependency_graph 코드 의존성 그래프를 분석합니다. 키워드: 의존성, 관계 분석, 순환 참조, dependency graph, circular dependency 분석 내용: - 파일 간 import/export Read analyze_problem 문제 분석|어떻게 접근|분석해줘|analyze this|how to approach|break this down - Break down complex problem into structured st Read analyze_prompt 프롬프트 분석|평가|점수|얼마나 좋은지|analyze prompt|rate this|score|how good|prompt quality - Analyze prompt quality Read analyze_requirements 요구사항 분석|필요한 것들|requirements analysis|what we need|analyze requirements|필수 기능 - Analyze project requirements Read break_down_problem 나눠서|단계별로|세분화|break down|divide|split into parts - Break complex problems into sub-problems Read check_coupling_cohesion 결합도|응집도|coupling|cohesion|dependencies check|module structure - Check coupling and cohesion Read enhance_prompt 구체적으로|자세히|명확하게|더 구체적으로|be specific|more detail|clarify|elaborate|vague - Transform vague requests Read enhance_prompt_gemini 프롬프트 개선|제미나이 전략|품질 향상|prompt enhancement|gemini strategies|quality improvement - Enhance prompts using Gemini Read feature_roadmap 로드맵|일정|계획표|roadmap|timeline|project plan|development schedule - Generate development roadmap Read find_references 어디서 쓰|참조|사용처|find usage|references|where used - Find symbol references Read find_symbol 함수 찾아|클래스 어디|변수 위치|find function|where is|locate - Find symbol definitions Read get_coding_guide 가이드|규칙|컨벤션|guide|rules|convention|standards|best practices - Get coding guide Read get_current_time 지금 몇시|현재 시간|몇시야|what time|current time|time now - Get current time Read get_memory_graph 메모리 지식 그래프를 조회합니다. 키워드: 그래프, 관계도, 연결 보기, memory graph, relations, connections 사용 예시: - Read get_session_context 🚀 [새 대화/세션 시작 시 자동 실행 권장] 이전 세션의 메모리, 지식 그래프, 최근 작업 내역을 한 번에 조회합니다. 이 도구는 새로운 대화를 시작할 때 가장 먼저 실행하면 좋습니다. 프로젝 Read get_usage_analytics 도구 사용 분석 및 통계를 조회합니다. 키워드: 분석, 통계, 사용량, analytics, statistics, usage 제공 정보: - 메모리 사용 통계 - 카테고리별 분포 - 시간별 사용 Read link_memories 메모리 간 관계를 연결합니다 (지식 그래프). 키워드: 연결해, 관계 설정, 링크, connect memories, link, relate 사용 예시: - Read list_memories 저장된 메모리 목록을 조회합니다. 카테고리별 필터링 가능. 키워드: 뭐 있었지, 저장된 거, 목록, what did I save, list memories, show saved 💡 세션 시작 Read prioritize_memory 중요한 거|우선순위|prioritize|important|what matters|priority - Prioritize memories by importance Read recall_memory 특정 메모리를 키로 조회합니다. 키워드: 떠올려, recall, 기억나, remember what, what was, remind 💡 전체 컨텍스트가 필요하면 get_session_contex Read search_memories 찾아|검색|기억 중에|search|find|look for - Search memories by content Read search_memories_advanced 고급 멀티 전략 메모리 검색을 수행합니다. 키워드: 고급 검색, 찾아, 스마트 검색, advanced search, find memories 검색 전략: - keyword: 전통적 키워드 검색 Read step_by_step_analysis 단계별|차근차근|하나씩|step by step|one by one|gradually - Perform detailed step-by-step analysis Read suggest_improvements 개선|더 좋게|리팩토링|improve|make better|refactor|optimize|enhance code - Suggest improvements Read think_aloud_process 생각해봐|고민해봐|어떻게 생각해|think about it|let me think|reasoning - Generate think-aloud reasoning process Read validate_code_quality 품질|리뷰|검사|quality|review code|check quality|validate|코드 리뷰 - Validate code quality

Related servers

Other MCP servers with similar tools — same risk classification, starter policies for each.

Questions about Hi-AI

Can an AI agent delete data through the Hi-AI MCP server? +

Yes. The Hi-AI server exposes 1 destructive tools including delete_memory. These permanently remove resources with no undo. PolicyLayer blocks destructive tools by default so they never reach the upstream server.

How do I prevent bulk modifications through Hi-AI? +

The Hi-AI server has 11 write tools including apply_quality_rules, apply_reasoning_framework, auto_save_context. Set a rate limit in your policy -- for example, 10 calls per hour prevents an agent from making more than 10 modifications per hour. PolicyLayer enforces this at the gateway, before calls reach Hi-AI.

How many tools does the Hi-AI MCP server expose? +

41 tools across 4 categories: Destructive, Execute, Read, Write. 27 are read-only. 14 can modify, create, or delete data.

How do I enforce a policy on Hi-AI? +

Register the Hi-AI MCP server in PolicyLayer, apply the suggested rules above (adjust the limits to your use case), and point your AI client at the PolicyLayer proxy URL instead of the server directly. Your agents keep the same tools; PolicyLayer evaluates every call against policy before it executes. Nothing to install, live in minutes.

Enforce policy on every Hi-AI tool call.

Deterministic rules across all 41 Hi-AI tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Instant setup, no code required.

41 Hi-AI tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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