"Chinese greeting or conversation starter" matching MCP servers:

mcp-starter is a secure, starter framework for building MCP servers with JWT-based authentication, multi-tenant enforcement, and schema validation. Built with Node.js and Docker

A foundation for building custom local Model Context Protocol (MCP) servers that provide tools accessible to AI assistants like Cursor or Claude Desktop.

A production-ready template for creating Model Context Protocol servers with TypeScript, providing tools for efficient testing, development, and deployment.

A template for building Model Context Protocol servers using Elysia and Bun runtime, enabling LLM clients like Claude Desktop and Cody to access custom tools, prompts, and data resources.

A foundational MCP server scaffold that provides pre-configured tools, resources, and prompts to jumpstart development for Claude Desktop. It enables users to perform mathematical calculations and access system information while offering a standardized pattern for building custom extensions.

A minimal TypeScript starter template for building Model Context Protocol (MCP) servers with auto-loading architecture for tools, resources, and prompts. Includes code generators, dual transport support (stdio/HTTP), and production-ready structure.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

A starter template for creating Model Context Protocol servers that work with Puch AI. Includes ready-to-use tools for text processing, image manipulation, and demonstrates Bearer token and OAuth authentication patterns.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

A minimal, production-ready TypeScript starter template for building Model Context Protocol (MCP) servers with auto-loading architecture for tools, resources, and prompts. Provides boilerplate code, generators, and examples to quickly create MCP servers that can connect AI applications to any data source or tool.

A production-ready starter template for building Model Context Protocol (MCP) servers with TypeScript. Includes automated tooling for creating new MCP tools, testing, and deployment to Claude Desktop.

A TypeScript starter template for building MCP servers with example tools (echo, math operations, time, flight status) and resources (server info, greetings). Provides a modular architecture for easily extending with custom tools and resources.

A basic structure to build and run local tools that support the Model Context Protocol (MCP) standard, compatible with AI tools like Cursor and Claude.

A production-ready template for building Model Context Protocol servers in TypeScript, offering fast development with Bun, Biome linting, and automated version management.

A TypeScript-based template for building Model Context Protocol servers, featuring fast testing, automated version management, and a clean structure for MCP tool implementations.

A starter template for creating MCP servers that work with Puch AI, featuring ready-to-use tools for job searching and image processing. Includes examples for Bearer token authentication, OAuth integration with Google and GitHub, and demonstrates user-scoped data management.

A demonstration MCP server built with FastMCP that provides basic tools (addition calculator), dynamic resources (personalized greetings), and prompt templates, designed to run on Wasmer Edge.

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Enables delegating complete coding tasks to a local OpenAI-compatible model through MCP, using bounded Git worktrees and compact receipts so conversation history is not carried.

MCP server that gives AI agents full access to ITASCA PFC - browse documentation, run simulations, capture plots, all through natural conversation. Built on the Model Context Protocol, pfc-mcp turns any MCP-compatible AI client (Claude Code, Codex CLI, Gemini CLI, OpenCode, toyoura-nagisa, etc.) into a PFC co-pilot that can look up commands, execute scripts, monitor long-running simulations.