"Automating Task Assignment Based on Priority with Reshuffling Capabilities" matching MCP servers:

Enables MCP-based integration with the Priority ERP OData REST API, with strict environment validation and a read-only default. As of the current README, no tools are registered yet; the server only boots and waits on stdio.

An MCP server that exposes Priority ERP's OData operations (query, create, update, delete, batch, attachments, text fields) as 19 tools for AI assistants like Claude. It supports Streamable HTTP transport with OAuth 2.1 and two-layer authentication (bearer token plus Priority credentials).

Elevate your LLM task management with Task Orchestrator, an MCP server that empowers you to define, organize, and track goals and tasks with hierarchical precision. Integrate intelligent task management into your workflow.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Enables AI assistants to manage GitHub issues using deterministic priority scoring and concurrency-safe locking. It supports a structured eight-phase workflow from issue selection through pull request review to ensure consistent prioritization and progress tracking.

A cross-AI-agent local task context sharing MCP server that allows clients like Codex, Claude Code, Hermes, and VS Code to read and write the same task state, enabling task tracking and context distillation.

Async MCP server for running long-running AI tasks with real-time progress monitoring, enabling users to start, monitor, and manage complex AI workflows across multiple models.

An MCP server for task orchestration.

About Your task manager is the best agent memory you're not using. An agent-native context layer over your existing task app.

A task management system for LLM-based agents that stores all tasks in a single tree, available immediately after the server starts.

Provides an MCP server that tracks open loops (pending decisions or replies) across email, agent sessions, and other channels, enabling agents to query what is waiting on whom.

A Model Context Protocol implementation that provides a standardized interface for task management, supporting both STDIO mode for CLI/AI applications and HTTP+SSE mode for browser-based clients.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

Enables users to manage tasks through a simple JSON file interface. Provides basic task management functionality by reading and writing to a configurable tasks.json file.

A Model Context Protocol server for intelligent task management in AI-powered development environments, providing file-based storage, dependency management with cycle detection, and an interactive CLI.

Simplified Trello-style task management via MCP with 11 essential tools for efficient CRUD operations and a real-time web dashboard.

A secure MCP server providing controlled access to pixi tasks and commands, eliminating agent bash circumvention. It exposes 11 pixi tools through 4 meta-tools for ~95% context savings.

Provides a task passport system for handoff across AI harnesses, enabling users to list, open, create, and checkpoint tasks with stable IDs and verified state.

A Model Context Protocol server providing comprehensive task management capabilities with support for project organization, task tracking, and automatic PRD parsing into actionable items.

A secure, vector-based task management server for Claude Desktop using sqlite-vec and sentence-transformers. It provides intelligent task tracking with semantic search capabilities to organize and retrieve development tasks efficiently.