"Chinese greeting or conversation starter" matching MCP servers:

Scoped, low-latency persistent memory layer for AI agents, Cursor, and Claude Code over Model Context Protocol with sub-50ms hybrid search.

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

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 coding tasks to a pi agent as a steerable background worker, allowing mid-run redirection, follow-ups, and keeping the delegate's context isolated from your main conversation.

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.

Agent NERO is an MCP server that enables Claude Code to spawn, manage, and communicate with persistent, named LLM agents that maintain conversation history and can use tools like file I/O, command execution, and shared memory.

Enables AI harnesses to delegate code analysis, modification, testing, and long-running tasks to the locally installed Antigravity CLI via stdio MCP, with job status tracking and conversation continuity.

Enables AI assistants to incrementally build Laravel and Vue.js applications by creating file structures, methods, and code through natural conversation.

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

Enables a chat or voice assistant to drive coding agents running in herdr: it can start an agent on a task, list and watch sessions started anywhere, send follow-ups, answer an agent's questions and approve or refuse its permission prompts. Long-running work is reported back through webhook callbacks so the conversation can continue without blocking.

Enables MCP-compatible clients to run reusable, task-specific coding agents defined in Markdown files, executing them through a chosen coding CLI backend and returning results to the same conversation. Supports shared agent, model, and permission configuration plus session continuation across multiple calls.

Enables users to run reusable Markdown-defined coding agents from any MCP-compatible client, delegating tasks such as code review, test writing, investigation, and documentation to a chosen coding CLI backend and returning results to the same conversation.

Enables coding agents to open files and git diffs directly in VS Code, allowing users to review code changes without leaving their conversation.

Enables ChatGPT to submit tasks to a single explicitly bound local Codex workspace and conversation, then retrieve execution results, file contents, and diffs through MCP tools.

Enables users to define reusable task-specific agents in Markdown and run them through any MCP-compatible client using a chosen coding CLI backend, returning results to the same conversation. Supports shared backend/model configuration, permission modes, and optional cross-call session continuation.

Enables MCP-compatible coding agents to run the local Antigravity CLI as a coding agent, manage conversation context and common options, and inspect usage, quota, models, version, help, and read-only slash commands.

Enables any MCP-compatible client to run reusable task-specific agents defined in Markdown files, executing them through a chosen coding CLI backend and returning the results to the same conversation. Supports shared backend/model configuration, permission levels, and session continuation across calls for longer work.

Enables task-specific coding agents defined in Markdown files to be run from any MCP-compatible client, executing them with a chosen coding CLI backend and returning the result to the same conversation. The same agent definitions can be reused across clients with shared backend and model configuration, and continued across multiple calls through sessions.

Connects MCP clients such as Claude, Cursor, and VS Code to OpenCode's headless API so users can delegate coding tasks, ask questions, run work in the background, and resolve permission or input requests across projects. It also supports monitoring job progress, reviewing resulting changes, and inspecting conversation history.

Enables users to define reusable Markdown-based coding sub-agents and run them through any MCP-compatible client with a chosen coding CLI backend, returning results to the same conversation.

Enables users to define task-specific agents in Markdown files and run them through a chosen coding CLI (Codex, Claude Code, Cursor, and others) from any MCP-compatible client, with results returned to the same conversation. Supports shared model and permission settings plus optional session continuity across multiple calls.

A local MCP bridge that lets ChatGPT chat mode operate the user's own computer, running project, file, and shell tasks through a local executor and returning progress and results to the conversation. It also coordinates Codex sessions (persistent or one-off) and other agent CLIs as sub-agents.

Enables MCP clients such as Claude Code and Codex to delegate persistent review or isolated write-mode implementation tasks to locally installed Claude Code or Codex runtimes, then inspect progress, approve or deny individual permission requests, and continue the same native conversation. It also lists live model catalogues, lets callers follow up on saved conversations, and can run independently via its bundled CLI.

Enables running reusable Markdown-defined coding agents (such as reviewers, test writers, or investigators) from any MCP-compatible client, executing them through a configurable coding CLI backend. Results return to the same conversation, with optional session continuation and shared model and permission settings.

Enables AI assistants to research topics, generate product requirements and user stories, map codebases, curate context, scaffold full-stack starter projects, and run multi-step development workflows.

Enables any MCP-compatible client to run reusable, Markdown-defined coding agents—such as reviewers, test writers, or investigators—by executing them through a chosen coding CLI backend and returning the results to the same conversation. Supports sharing agent definitions across clients, centralized backend and model configuration, and continued sessions across multiple calls.

Enables users to run reusable, task-specific coding agents defined in Markdown files from any MCP-compatible client, executing them through a chosen coding CLI backend and returning the result to the same conversation. Supports shared backend and model configuration, permission levels, and session continuation across multiple calls.

Lets MCP-compatible clients run reusable Markdown-defined coding agents with a chosen backend CLI and return their results to the same conversation. It supports delegating tasks such as code review, test writing, investigation, and documentation, with shared settings and optional session continuation.

Enables MCP-compatible clients to run reusable, task-specific coding agents defined in Markdown files, executing them through a chosen coding CLI backend and returning results to the same conversation. Supports shared agent settings, multiple backends, and continued sessions across calls.

Lets any MCP-compatible client run reusable, task-specific coding agents defined in Markdown files, executing them through a chosen coding CLI backend and returning the results to the same conversation. Supports shared backend/model configuration, permission levels, and session continuation across multiple calls.