"Chinese greeting or conversation starter" matching MCP servers:

A scaffolding toolkit to generate clean architecture MCP servers with tool scaffolding and function inspection.

Enables AI-powered automated testing, security scanning, code review, and maintenance tasks directly within Claude Code or desktop.

Provides a real API for coding agents to look up design system components, props, and tokens, preventing guessed answers.

Enables LLM agents to search, resolve and audit DTCG design tokens — finding the token behind an intent or a hard-coded color/size, checking naming grammar, auditing CSS for hard-coded or unknown tokens, arbitrating semver, and previewing token additions as JSON Patch diffs. Writes are gated behind explicit confirmation plus an opt-in flag, so every change arrives as a reviewable proposal rather than an edit.

Allows AI assistants to access and analyze your Cursor conversation history, enabling personalized coding assistance based on your actual development patterns.

Enables read-only auditing of repositories by scanning actual files, flagging risky code, secrets, and untrusted platform configs, and generating Chinese-language reports for human decision-making.

Enables AI assistants to search code summaries using Chinese business terms, with support for semantic search and PRD linkage.

An MCP server that automatically scans project directories, extracts routes and environment variables, and generates GitHub-style README files in Chinese with explicit confirmation before writing.

Enables AI assistants to read Bitbucket Cloud pull requests and diffs through natural conversation.

A Chinese-friendly, locally running MCP server for WeChat Mini Program engineering, helping developers break down ideas into actionable tasks, inspect projects, generate blueprints, and perform security scans.

Enables AI-powered code analysis and repository scanning through six MCP tools, including house categorization, friction detection, recursive pattern finding, and equilibrium evaluation, with conversation memory and 24/7 cron operation on Cloudflare's free tier.

Enables AI assistants to perform software-development tasks such as deep research, codebase mapping, context curation, requirements and user-story generation, full-stack starter project scaffolding, and multi-step workflow execution.

Enables MCP clients to read only explicitly allowlisted Linux project files and selected Codex conversation turns. It supports listing projects and files, reading UTF-8 files, bounded text search, and paged reading of authorized conversations.

Enables AI assistants to research, plan, generate requirements, user stories, task lists, and full-stack starter projects, analyze codebases, curate context, and run multi-step software development workflows through MCP tools.

Enables AI assistants to conduct research, plan projects, generate PRDs, user stories and task lists, scaffold full-stack starter kits, map codebases, curate context, and execute multi-step development workflows.

Enables AI assistants and MCP-compatible clients to research, plan, generate requirements, analyze codebases, manage tasks, create user stories, and scaffold full-stack starter projects through specialized development tools.

Equips AI assistants and MCP clients with software development tools for deep research, codebase mapping, context curation, and multi-step workflow execution. It also generates product requirements documents, user stories, task lists, and fullstack starter projects.

Equips MCP-compatible AI assistants with tools for deep research, requirements and PRD generation, codebase mapping, context curation, task management, and fullstack starter-project scaffolding. It supports CLI, REPL, and server modes so developers can drive software development workflows through natural-language commands.

Enables AI assistants to research, plan, generate requirements and user stories, scaffold starter projects, map codebases, manage tasks, curate context, and run multi-step software-development workflows through MCP-compatible clients.

Enables AI assistants to research topics, analyze codebases, generate requirements and user stories, scaffold starter projects, and run multi-step development workflows through natural language.

Enables AI assistants to research topics, map and analyze codebases across 35+ languages, curate context, and generate requirements documents, user stories, task lists, and full-stack starter projects. It also supports multi-step workflow execution and AI-native task management through a CLI, interactive REPL, or MCP client integration.

Enables AI assistants to research topics, plan software, generate requirements, create starter projects, map codebases, curate context, manage tasks, and run multi-step development workflows through MCP-compatible clients.

Enables AI assistants to research topics, map and analyze codebases, curate context, and generate PRDs, user stories, task lists, and fullstack starter projects through natural language commands or an interactive CLI/REPL. It also provides AI-native task management and multi-step workflow execution.

Enables AI assistants to research, plan, generate requirements and user stories, map codebases, scaffold starter projects, and run multi-step development workflows.

Enables AI assistants to research, plan, generate requirements and user stories, create starter projects, analyze codebases, curate context, manage tasks, and execute multi-step development workflows.

Enables AI assistants to research, plan, generate requirements, create starter projects, analyze codebases, and execute multi-step software development workflows through MCP tools.

Enables querying a Mendix application model through Claude—entities, microflows, pages, references, and git-history semantic diffs of .mxunit—without opening Studio Pro. It lets users inspect dependencies, impact, access rules, and changes directly in conversation.

Enables Codex-powered Git code review by collecting diffs and generating Chinese Markdown reviews with optional Feishu notifications.

An MCP server that gives Claude Desktop complete intelligence about any public GitHub repository. Research libraries, compare packages, audit dependencies, and explore codebases through natural conversation.

Enables AI assistants to research topics, map and analyze codebases, curate development context, and generate product requirement documents, user stories, task lists, fullstack starter kits, and multi-step workflows. It runs as an MCP server over stdio or SSE, or as a CLI/REPL interface for natural-language software development tasks.