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Build LLM tool services with plugins, middleware, and multi-transport support.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "QiuChi" yet — see the docs or source repo.
Using QiuChi, design an internal MCP service framework that supports plugin extensions, middleware-based authentication, logging, and both stdio and HTTP transports. Also suggest a project structure.
A proposed MCP service architecture with module design, transport options, middleware flow, and recommended project structure.
I want to add a plugin system to an LLM tool service with QiuChi. Provide a plugin interface design, loading flow, lifecycle management plan, and an example plugin.
A plugin system design covering interfaces, registration/loading, lifecycle hooks, and example implementation ideas.
Based on QiuChi, design an MCP middleware pipeline that performs request validation, authorization, rate limiting, logging, and error handling in order, and explain each layer's responsibility.
A clear middleware pipeline design showing execution order, responsibilities, and error-handling behavior.
Unify multiple LLM providers, routing, and model collaboration in one local gateway.
Build MCP servers in TypeScript with less boilerplate and testing helpers.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.
Route LLM requests across providers and orchestrate MCP tools with local privacy.
Build MCP servers quickly to expose app data and actions to AI clients.
Build, debug, and manage software tasks with natural language across LLMs.