"Chinese greeting or conversation starter" matching MCP servers:

A Model Context Protocol server implementation that provides a standardized interface for applications to interact with OpenRouter's language models through a unified conversation management system.

Enables running a minimal, dependency-free Model Context Protocol server on Cloudflare Workers that exposes custom tools to MCP clients over plain POST, with optional token auth and rate limiting.

A hexagonal TypeScript starter for production MCP servers with built-in authentication, billing, and tool scaffolding.

A starter kit for building Model Context Protocol servers that enables AI tools to access external data and functionalities like checking holidays, disk space, timezones, RSS feeds, code diffs, and web performance metrics.

Turns any SpringDoc-powered Spring Boot API into a production-ready MCP gateway, exposing existing controllers as safe MCP tools with discovery, validation, response shaping, and workflow orchestration.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

Production-ready MCP server starter templates in TypeScript and Python. Includes tool, resource, and prompt patterns with Claude Desktop integration configs.

Enables a two-way conversation bridge between Claude and ChatGPT using existing CLI logins over MCP, with no API keys required.

Enables AI agents to connect to and chat with multiple LLM models (OpenAI, OpenRouter, custom endpoints) with conversation history management and model switching capabilities.

Enables peer-to-peer asynchronous conversation between Claude.ai and Claude Code instances via a shared file-based notebook, allowing them to leave messages, start threads, and organize by project.

Enables Codex to invoke Hermes Agent through A2A v1.0, bridging MCP stdio tool calls to Hermes while maintaining conversation and task mappings in SQLite.

Enables AI agents to securely store and retrieve secrets and make authenticated API calls on their behalf, keeping API keys out of conversation context and supporting local file or GCP Secret Manager backends.

Provides MCP tools to migrate or compress conversation sessions between models based on context window capacity, including querying model context windows and listing known models.

A Model Context Protocol (MCP) server that integrates Claude with the Terraform Cloud API, allowing Claude to manage your Terraform infrastructure through natural conversation.

Enables AI agents to consult with multiple AI models (GPT, Gemini, Grok, etc.) through OpenRouter with intelligent auto-selection, conversation history, and caching. Allows your AI assistant to seek expert opinions from specialized models for different tasks like coding, analysis, or general questions.

Prototype MCP server enabling coding agents to manage Amigo Agent Forge operations, including org credentials, entity configurations, conversation simulations, and version sets.

Facilitates two-stage reasoning processes using DeepSeek for detailed analysis and supports multiple response models such as Claude 3.5 Sonnet and OpenRouter, maintaining conversation context and enhancing AI-driven interactions.

Agentic tool that looks for statistical variations in conversation structure and logs unusual events to a SQLite database. Built using the Model Context Protocol (MCP), this system is designed to be used with Claude Desktop or other MCP-compatible clients.

A starter template for building Model Context Protocol servers that can be integrated with Cursor or Claude Desktop, allowing developers to create custom tools and extensions for AI assistants.

A ready-to-use starter implementation of the Model Context Protocol (MCP) server that enables applications to provide standardized context for LLMs with sample resources, tools, and prompts.