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Helps MCP-enabled agents classify aptitude questions and guide solving steps.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "花生十三-mcp" yet — see the docs or source repo.
Use huashengshisan-mcp to analyze this aptitude question, identify its type, and return the best solving method with step guidance: 'A company increased hiring by 20% this year compared with 50 hires last year. How many hires are there this year?'
Returns the question type, matched methodology tag, and clear step-by-step solving guidance.
Use huashengshisan-mcp to retrieve common methods for 'data analysis growth-rate comparison' questions and format them as an execution checklist for an LLM agent.
Outputs core techniques, applicable conditions, common pitfalls, and a standard solving workflow.
I want to integrate the Huasheng Shisan method into an agent. Generate a follow-up-friendly answering guide for this question: 'A and B together finish a job in 12 days. A alone needs 20 days. How many days does B alone need?'
Provides multi-turn guidance prompts, key calculation steps, and the final answer structure.
Solve civil service aptitude questions with structured methods and guided analysis prompts.
Turn CVs and projects into MCP tools for querying and job matching.
Track structured reasoning with confidence, branches, and revisions for complex problem solving.
Investigate agents, conversation threads, and content trust signals for analysis.
Use zero-config MCP servers for web search and AI-driven Hexo blog management.
Build production-ready AI tools with security, auditability, data quality, and testing.