"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.

Local, zero-token event triggers for Claude Code, Codex, OpenCode and ZCode: when CI fails, a training run finishes, a service goes down or NVDA crosses your price, your agent wakes up in your conversation—even if closed.

Starter kit for small businesses: A2A agent card, MCP server card, minimal example MCP server (tools: leistungen, anfrage_anlegen) and validator. Python standard library only, MIT, docs in English and German.

Enables routing AI subscription tasks from MCP-compatible editors to configured worker adapters, with state tracking and result retrieval for host review.

An MCP server for giving AI agents secure access to internal systems, with OIDC sign-in and API keys, per-tool scopes, audit logging, and rate limits.

Serves a stateful Streamable HTTP MCP endpoint over Express with POST/GET/DELETE handling and session IDs, so remote clients such as Alexa+ add-ons can connect without legacy SSE or stdio transport. It ships a minimal ping tool and a sample resource as a starting point, plus guidance for tunneling and registering the endpoint.

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.

Enables production-hardened MCP tool serving with OAuth 2.1 audience-restricted tokens, purpose-bound tools, human-in-the-loop approvals, containment, and audit trails for AI agents.

Enables developers to host a minimal MCP endpoint that exposes a read-only Hello World tool and HTML UI resource for testing ChatGPT inline widgets, conversation side panels, and global sidebar apps.

Local MCP server that adds a widget with 3–5 editable next-step suggestions to Codex desktop responses. Supports configurable language, persona, and suggestion count, running entirely on-device.

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.

A FastMCP server that enables AI engineers to run a production-ready MCP endpoint with in-memory token-bucket rate limiting and strict Pydantic v2 input validation. It connects to Claude Desktop, Cursor, and custom agent runners over stdio for safe tool execution.

Enables building and deploying a Python FastMCP tool server over streamable HTTP on foro.sh, with automatic tool loading and an example add tool.

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 unified web search across multiple Chinese LLM providers (Kimi, Xiaomi MiMo, Zhipu GLM, and StepFun) via a single MCP tool, with configurable provider priority, automatic fallback, multi-source aggregation, timeouts, and retries.

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 a coding-agent session to exchange messages with another machine's session over SSH, returning replies and maintaining per-peer conversation history across calls without a cloud relay or extra API keys.

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.

Multi-conversation collaboration MCP server enabling cross-conversation memory, task delegation, and parallel workflow orchestration.

Pools multiple Claude Code subscriptions on one machine so a single conversation keeps running after a usage limit is hit by continuing automatically on another account, and lets Claude hand heavy tasks to another account or to the Codex CLI with a chosen model and effort while returning the result to the current session.

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.

Lets MCP-aware agents consult rival LLMs mid-conversation, sending questions to a specific provider or fanning out to OpenAI, Gemini, Anthropic, and xAI/Grok in parallel for second opinions.

Enables Claude Code and Codex to turn an ordinary conversation into an orchestrator that spawns, names, monitors, and revives separate work sessions, aggregates their questions for a single confirmation, and throttles parallelism based on memory and usage limits. Reports results back as a summary table without needing any extra app, daemon, or tmux.

Enables developers to capture verbatim conversation turns, implementation plans, task lists, modified files, terminal errors, and uncommitted git state from one AI coding agent and inject or hand them off to another with a single command. It works across Claude Code, Antigravity, OpenAI Codex, and Grok Build CLI on Linux, macOS, and Windows.

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.