wcgw is an MCP server project that integrates Shell and code editing tools, allowing AI to execute commands, read and write files, edit code, etc. on the local machine. It provides multiple modes (such as Architect Mode, Code Writing Mode, etc.), supports task checkpoint saving, terminal interaction, syntax checking, etc., and is suitable for scenarios such as code development and problem troubleshooting.

Zen MCP is a multi-model AI collaborative development server that provides enhanced workflow tools and cross-model context management for AI coding assistants such as Claude and Gemini CLI. It supports seamless collaboration of multiple AI models to complete development tasks such as code review, debugging, and refactoring, and can maintain the continuation of conversation context between different workflows.

The Apify MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with various Actors on the Apify platform through SSE or Stdio to perform tasks such as data scraping and web search.

A software development planning tool based on the Model Context Protocol (MCP), which provides functions for task breakdown, progress tracking, and development plan management to help teams efficiently plan software development projects.

The ClickUp MCP Server is a model context protocol server for integrating ClickUp tasks with AI applications, supporting task, space, list, and folder management through a standardized protocol.

IDA Pro MCP Server is a plugin that enables remote interaction between AI assistants and IDA Pro through the Model Context Protocol interface, supporting binary analysis tasks such as disassembly, pseudocode retrieval, and function query.

The Aider MCP Server is an experimental model context protocol server used to offload AI coding tasks to Aider, improving development efficiency and flexibility.

The ClickUp MCP Server is a model context protocol server for integrating ClickUp tasks with AI applications. It supports managing tasks, spaces, lists, folders, etc. through a standardized protocol and provides functions such as time tracking and tag management.

The Kubernetes MCP Server is a powerful implementation of the Kubernetes model context protocol, supporting operations on Kubernetes and OpenShift clusters. It can perform various resource management tasks without relying on external tools.

Speelka Agent is a general LLM agent based on the Model Context Protocol (MCP), capable of invoking tools from other MCP servers to achieve complex task decomposition, multi - model collaboration, and tool orchestration.

A server based on the Model Context Protocol for managing GitLab kanban task operations, providing functions such as task list query, creation, update, deletion, and commenting.

The Meta Prompt MCP project simulates a multi - agent collaboration system through a single language model, realizing task decomposition and expert consultation functions, and simplifying the process of solving complex problems.

A project that exposes AutoHotkey functionality through an MCP server, enabling model interfaces to control Windows automation tasks.

This is a Label Studio integration server based on the Model Context Protocol, which realizes programmatic interaction with Label Studio instances through the label - studio - sdk, supporting functions such as project management, task management, and prediction integration.

SAGE - MCP is an intelligent AI assistant MCP server that offers multiple working mode selections, conversation continuity management, and intelligent file handling functions. It can automatically select the best AI model based on task complexity.

DINO-X MCP is a project that enables large language models to perform fine-grained object detection and image understanding through DINO-X and Grounding DINO 1.6 API. It can achieve precise object positioning, counting, attribute analysis, and scene understanding, and supports natural language-driven visual tasks and workflow integration.

Yokan Board MCP is a server based on Model Context Protocol that provides a tool interface for AI agents to interact with Yokan Kanban API, supporting comprehensive management of Kanban, columns, and tasks.

Bonsai - mcp is a Blender plugin that implements the analysis and operation of IFC building models through IfcOpenShell, supporting the execution of building information model query tasks through interaction with LLMs such as Claude.

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

The MCP Server for Asana is a server that implements the Model Context Protocol, allowing interaction with the Asana API through MCP clients (such as Anthropic's Claude desktop application) and providing management functions for tasks, projects, and comments.

A chain of thought MCP server that uses the Groq API to call the Qwen model, enhancing the ability of AI to handle complex tasks through external thinking tools.

The Swarms API is a REST API for building, deploying, and managing multi-agent systems. It supports multiple AI models and swarm architectures, providing functions such as real-time monitoring, batch processing, and task scheduling.

The TickTick MCP Server is a service that implements the Model Context Protocol (MCP), allowing AI assistants to interact with the TickTick task management application through the TickTick Open API and providing task and project management functions.

Yellhorn MCP is a model context protocol server that provides full codebase context support for code assistants by integrating the capabilities of Gemini and OpenAI, enabling development task planning, code review, and isolated environment creation.

MCP-Odoo is a middleware that connects the Odoo ERP system and AI agents. Through the standardized Model Context Protocol (MCP) interface, AI can access and operate partner information and accounting data (such as invoices and payments) in Odoo, and perform tasks such as financial record reconciliation.

A documentation management system based on the Model Context Protocol (MCP), providing functions such as resource templates, documentation processing, task management, and integration testing.

GemSuite MCP is the most comprehensive Gemini API integration server. It provides optimal performance, lowest token cost, and seamless integration through intelligent model selection, and supports various file processing and complex tasks.

The OpenRouter Agents MCP Server is a research agent server based on the Model Context Protocol (MCP). It uses Claude 3.7 Sonnet as the planning agent to coordinate multiple OpenRouter models to decompose and execute complex research tasks, providing efficient and reliable AI research services.

The MCP Game Helper is a custom model context protocol server that provides AI - assisted tools for game developers, focusing on tasks such as combat balance, skill analysis, level rhythm, and simulation.

The MCP server automatically routes design tasks to the currently best design model on the designarena.ai leaderboard via OpenRouter, enabling dynamic selection of the optimal AI for design work.

The EduBase MCP Server is a Model Context Protocol service implemented for the EduBase education platform, allowing MCP clients and LLMs to interact with user accounts and perform tasks.

The Wrike MCP server is a lightweight implementation used to connect the Wrike project management platform with language learning models (LLMs), providing API interfaces for task querying, comment adding, task creation, etc.

Claude Team is a multi - agent MCP server that enables intelligent task distribution, preset workflow templates, and a custom expert system by configuring multiple AI models (such as GPT, Claude, Gemini) to work together, for automated collaboration on complex development tasks.

Zapier MCP is a remote MCP server that connects AI assistants to over 8,000 applications and 40,000+ automated actions through the Model Context Protocol, enabling AI to directly perform real operations such as sending emails and managing tasks.

The Dart MCP Server is an implementation of the model context protocol (MCP) server based on Dart, providing functions for task management, document processing, and space organization, and supporting integration with AI assistants.

This project demonstrates an example implementation of the Model Context Protocol (MCP), which is a standardized protocol for enhancing the capabilities of AI assistants and extending their functionality through custom tools and data sources. The project includes multiple MCP server examples, such as task managers, file explorers, and weather services, and provides guidelines on how to set up and use these servers.

ntfy-mcp is a task completion notification service based on the Model Context Protocol that uses ntfy to push notifications, allowing users to be promptly informed when an AI assistant completes a task.

Planfix MCP Server is a project that integrates the Planfix business management system with the Model Context Protocol (MCP), providing functions such as task management, project management, CRM contacts, and data analysis, and supporting operations through AI assistants such as Claude.

The Things MCP Server is a project based on the Model Context Protocol that allows users to interact with the Things task management app through Claude Desktop, enabling functions such as creating tasks in natural language and intelligently analyzing projects.

The Sauce Labs MCP Server is a model context protocol server fully integrated with the Sauce Labs testing platform, supporting AI assistants to manage the device cloud, test tasks, build analysis, and monitor the test infrastructure through natural language interaction.