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Open-Source MCP servers

Production-ready MCP servers that extend AI capabilities through file access, database connections, API integrations, and other contextual services.

6,070 servers. Last updated -

Matching MCP tools:

Matching MCP servers:

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    MCP Shrimp Task Manager is a task tool built for AI Agents, emphasizing chain-of-thought, reflection, and style consistency. It converts natural language into structured dev tasks with dependency tracking and iterative refinement, enabling agent-like developer behavior in reasoning AI systems.
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    A Model Context Protocol server providing comprehensive task management capabilities with support for project organization, task tracking, and automatic PRD parsing into actionable items.
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    An MCP server that integrates with AI editors like Cursor to maximize agentic capabilities while solving context window limitations, providing a Svelte UI for task planning and implementation tracking.
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    A server for task orchestration and coordination, facilitating task management with dependencies, multi-instance collaboration, and persistent task tracking.
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    MCP-NixOS is a Model Context Protocol server that provides real-time, accurate information about NixOS packages, options, Home Manager, and nix-darwin configurations, preventing AI assistants from hallucinating about NixOS resources and enabling them to deliver factual system configuration guidance.
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    An MCP server that enables interaction with Google Cloud's Workload Manager API, allowing users to manage workloads through natural language commands.
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    A Flask-based web application that provides a simple task management system with basic CRUD operations for managing tasks through a responsive Bootstrap interface.
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    MCP server for "taming the Claude" with structured task queues.
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    An MCP server that integrates Claude with Todoist, enabling natural language task management including creating, updating, completing, and deleting tasks.
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    A TypeScript Model Context Protocol server that integrates with Google Tasks API, allowing users to create, list, update, delete, and toggle completion status of tasks.
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    A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI and other code editors via MCP.
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    A task tracking and backlog management tool that enables AI assistants to create, organize, and track issues and tasks with status workflow through MCP protocol.
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    A Model Context Protocol service for Claude that enables natural language interaction with Microsoft Todo tasks, including viewing task lists, creating tasks, and managing checklist items.
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    Enables LLMs to interact with GitHub issues by providing details as tasks, allowing for seamless integration and task management through GitHub's platform.
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    Enables AI integrations with ClickUp tasks, supporting resource management, task operations, workspace organization, and AI-powered task recommendations through a standardized protocol.
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    Provides API access to a locally-hosted task management system with features for creating, updating, and organizing tasks, including support for urgency levels, effort estimates, subtasks, and bi-directional sync with Obsidian markdown files.
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    A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.
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    Integrates Claude with Todoist for natural language task management, supporting project and section organization, task creation, updating, completion, and deletion using everyday language.
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    A Python server that enables Claude to interact with Todoist's task management API, allowing users to create, manage, and organize tasks directly through Claude's interface.
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    Provides tools to interact with the Linear API, allowing users to fetch tasks, task details, teams, and users from their Linear workspace.
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    An enhanced Model Context Protocol server that enables AI assistants to interact with ClickUp workspaces, supporting task relationships, comments, checklists, and workspace management through natural language.
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    MCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)
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    Node.js server implementing Model Context Protocol that enables interaction with TaskWarrior through natural language to view, filter, add, and complete tasks.
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    A Model Context Protocol server that enables management of GitLab Kanban boards through tools for listing, creating, updating, and deleting tasks, as well as adding comments.
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    A Model Context Protocol server that manages desktop images, providing functionality to count, list, and compress image files stored on the desktop.
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    Provides comprehensive tools for managing GitHub projects, milestones, tasks, and sprints. This server integrates deeply with GitHub Projects V2, offering features like automated kanban workflows, sprint planning, and custom field management.
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    An MCP server that converts Cursor agent plans into structured markdown task lists and organizes them in your repository, helping you track AI-generated plans and recommendations as actionable specifications.
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    Perform Asana operations from an MCP Client such as Anthropic's Claude Desktop Application, and many more.
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    A Model Context Protocol server that allows Claude Desktop to manage and execute tasks in a queue-based system, supporting planning, execution, and completion phases.
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    Interact with Routine (https://routine.co/): manage calendars, tasks, notes, etc.
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