"A server for managing Upwork-related tasks with MCP" matching MCP servers:

A comprehensive and efficient Model Context Protocol server for task management that works with Claude, Cursor, and other MCP clients, providing powerful search, filtering, and organization capabilities across multiple file formats.

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.

MCP server for agentic task orchestration and management, enabling AI agents to create goals, plan tasks with acceptance criteria, track dependencies, request human input, and provide proof of completion.

Task manager for AI agents with projects, priorities, and status tracking. Reads are free, writes require Veyra commit mode.

Enables Upwork's MCP server to work with OpenAI Codex and ChatGPT by normalizing protocol incompatibilities, allowing their tools to be listed and used.

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

A lightweight task management MCP server that enables CRUD operations on tasks stored in a single JSON file, including listing, creating, updating progress, and setting priorities.

A task management MCP server that provides tools to create, list, complete, and delete tasks using pluggable storage backends. It enables users to interact with their task lists through natural language using MCP-compatible clients like Claude Desktop.

Enables managing projects, features, tasks, dependencies, executions, and human review through a Streamable HTTP endpoint, along with persistent inter-agent cooperation via task messaging and event subscriptions. It also supports administrative actions such as approvals, cancellations, unblocking, and member management.

Enables converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

MCP server for managing tasks with a resource to read all tasks, a tool to add tasks, and a prompt to analyze tasks, using stdio transport.

Converts Cursor agent plans into structured markdown task lists and organizes them in your repository.

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.

MCP server that enables AI agents to start, monitor, and stop background processes like dev servers, builds, and tests, with a web dashboard.

Enables interaction with MySQL databases through tools for listing tables, querying table schemas, executing queries, viewing indexes, and analyzing query execution plans.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

A live MCP server that connects AI assistants to a running Obsidian instance, enabling full app automation including reading notes, clicking UI elements, managing plugins, and executing JavaScript.

A Model Context Protocol server that helps programmers understand code by providing explanations, tech stack analysis, and best practice suggestions through prompt templates.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

Provides over 1,000 creative ways to decline requests across four categories (polite, humorous, professional, and creative). The MCP server wraps a REST API to help users craft professional rejections through natural language interactions.