MCP TaskManager
by kazuph · ai-ml · mcp-server, lobehub, productivity
Model Context Protocol server for Task Management. This allows Claude Desktop (or any MCP client) to manage and execute tasks in a queue-based system.
Source: https://github.com/kazuph/mcp-taskmanager
Install
git clone https://github.com/kazuph/mcp-taskmanagerUse this forAI-extracted
- →Create, update, and delete tasks programmatically from within Claude or other AI agents
- →List and filter tasks by status, priority, or custom criteria to track work items
- →Mark tasks complete or change priorities without leaving your AI coding environment
- →Integrate task management into multi-step workflows where AI agents coordinate development work
Works with
Tags: mcp-server, lobehub, productivity
⭐ 59 GitHub stars · Source: lobehub
About ai-ml MCP servers and Claude skills
ai-ml MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
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Frequently asked questions
How do I install MCP TaskManager?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support MCP TaskManager?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is MCP TaskManager free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.