"Chinese greeting or conversation starter" matching MCP servers:

Enables AI assistants to automatically log and manage conversation history with developers in structured markdown format. Provides powerful search and context suggestions to help AI understand project history and maintain continuity across sessions.

Enables Boneyard to call authenticated, stateless Streamable HTTP tools for searching tickets and adding ticket comments, with caller context, attribution, and bounded results.

A collection of FastMCP servers for Todo and Postgres, managed with uv and supporting hot reload for development.

A minimal MCP server for task management with a widget-based UI, built using the @miragon/mcp-toolkit.

Enables reading GitHub Projects v2 kanban boards mid-conversation, with tools to list boards, retrieve board details, and summarize their contents.

An AI-powered Technical Project Manager that enables Claude to track projects, features, and tasks locally using SQLite. Break down complex features, track progress and blockers, and manage hierarchical project structures through natural conversation.

Enables a Chief of Staff client to find Codex tasks, create and submit project work with exact prompts, track progress via durable receipts, and continue or manage the same conversation locally.

Bridges Motion's API with LLMs like Claude and ChatGPT via the Model Context Protocol, enabling task management, project search, schedule viewing, and more through natural conversation.

Bridges Motion's API with LLMs so you can manage tasks, search projects, check schedules, and more through natural conversation.

Connects AI coding agents to the Standup kanban app so they can list boards, read and create cards, move cards between columns, manage assignees, and post comments through natural conversation.

Enables LLM clients to manage tasks and projects, search content, handle comments, custom fields, recurring tasks, statuses, schedules, and workspaces through natural conversation.

Bridges Motion's API with LLMs to manage tasks, search projects, check schedules, and more through natural conversation.

Enables persistent SQLite-backed tasks, recorded parent/child agent relationships, workflow groups, and lead-mediated conversation snapshots and navigation requests through compatible ChatGPT/Codex hosts.

Enables LLM clients to manage tasks, projects, workspaces, schedules, comments, custom fields, recurring tasks, and statuses through natural conversation by bridging Motion's API via the Model Context Protocol.

Bridges the Motion calendar and task-management API with LLM clients over the Model Context Protocol, letting users create, update, move, and delete tasks, manage projects, workspaces, comments, custom fields, recurring tasks, and check schedules through natural conversation. Runs locally via npx for desktop clients or as a remote Cloudflare Worker for web and mobile clients, with configurable tool sets.

Connect AI coding assistants to your Miro boards. Create diagrams, extract context, generate code from designs, and track tasks—all through natural conversation.

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.

An MCP server that connects Claude to Trello, enabling comprehensive management of boards, lists, and cards through natural language conversation. It supports a wide range of actions including searching cards, adding comments, managing checklists, and tracking board activity.

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 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.

A Model Context Protocol (MCP) server that brings your Google Tasks into Claude and other MCP-compatible clients, enabling task and task list management through natural conversation.

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, generate product requirements and user stories, map codebases, curate context, scaffold full-stack starter projects, and run multi-step development workflows.

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 agents to build and maintain recursive task trees with live browser progress, isolated per-conversation work items, and verification gates that require explicit acceptance evidence.

Enables Claude or any MCP-compatible agent to view, build, and edit trip itineraries through conversation. Supports searching real places, guides, and hotels, plus adding notes, hotels, transit legs, car rentals, checklists, and budget expenses within Wanderlog trips.

Enables AI assistants to work directly with ConnectWise Manage through natural conversation, offering tools to search and update tickets, log time, manage companies, contacts, projects, and more across cloud and self-hosted instances.