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Enables AI assistants to delegate specific tasks to specialized sub-agents (e.g., test-writer, code-reviewer). Supports both Cursor and Claude Code with custom agent definitions.

Enables AI agents to autonomously manage and improve execution processes for repetitive task types by storing reusable task contexts with associated artifacts (practices, rules, prompts, learnings) and providing full-text search across historical best practices.

A task management Model Context Protocol server that helps break down user requests into manageable tasks with subtasks, dependencies, and notes, while enforcing a structured workflow with user approval steps.

Automates Notion task workflows with AI-powered tag processing, enabling Claude to interrogate, expand, critique, rewrite, and implement tasks through intelligent tag-based commands.

A task management server that helps AI assistants break down user requests into manageable tasks and track their completion with user approval steps.

Enables AI assistants to manage tasks through a comprehensive interface with 8 tools for creating, updating, searching, and tracking tasks with priorities, categories, and due dates. Features persistent file-based storage, advanced filtering, and task statistics for complete task management workflow.

Provides AI agents with simplified task management through a 4-step workflow (create session, define tasks, execute, complete) that works with any LLM without requiring complex thinking patterns.

An MCP server for Taskwarrior that implements agent claim and lease semantics for task management. It enables agents to list, create, and modify tasks while ensuring mutual exclusion through a system where tasks must be claimed before they are updated.

Enables AI assistants to manage Dida365 (滴答清单) tasks through the Model Context Protocol. It supports full task lifecycle management including creating, updating, and filtering tasks with automatic timezone handling.

Task Orchestration

Taskschmiede is an agent-first work management system where humans and AI agents are equal participants. They can own tasks, create demands, collaborate in shared endeavours, and communicate through built-in messaging.

TeamDman MCP

全面解析Teamdman MCP Server HelloMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Teamdman MCP Server Hello能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

Enables users to plan, coordinate, and govern multi-agent teams using MongoDB for shared context, token budgets, and checkpoint recovery.

Enables AI assistants to access PSG College of Technology e-campus portal data including CA marks, attendance records, timetable schedules, and course information through natural language queries.

An AI orchestration layer that enables automated control and validation of test and measurement instruments using SCPI commands and tm_devices. It provides tools for project knowledge retrieval, command materialization, and deterministic shortcuts to streamline instrumentation workflows.

Prediction market probability oracle for AI agents. 26 tools across 500+ live markets from Kalshi and Polymarket. Cross-source arbitrage detection, structured TPF signals, Kelly Criterion sizing, agent performance tracking, and webhook alerts.

Give your agents a phone

Ten Agent

全面解析Ten AgentMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Ten Agent能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

The x402 ecosystem's read MCP for Base. Verify on-chain USDC settlements, parse publisher manifests, and audit x402 payment receipts from any MCP-compatible AI agent.

Model Context Protocol server and client that enables AI agents and LLMs to interact with Tensorus tensor database for operations like creating datasets, ingesting tensors, and applying tensor operations.