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

A Model Context Protocol server that enables AI agents to search, analyze, and apply for Upwork jobs autonomously. It facilitates specialized job scoring, proposal submission, and integrated client messaging through a combination of browser automation and API access.

Enables AI assistants to interact with the Upwork freelance marketplace, including job search, proposal management, contract tracking, and earnings monitoring.

Connects AI agents to Upwork's GraphQL API, enabling job discovery, proposal management, profile tracking, and analytics.

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.

An MCP server that exposes outputty's task tracker as typed tools backed by GitHub Issues, allowing coding agents to manage tasks with two-way sync.

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.

Enables pipeline-driven task management for AI coding agents, with stage-gated workflows, dependency tracking, artifact versioning, and multi-agent collaboration.

Enables AI agents to call tools through a security gateway that intercepts requests, enforces deterministic policy and risk checks, blocks or escalates high-risk actions for human approval, and keeps tool credentials and audit logs protected.

MCP server for the Upwork GraphQL API enabling job search, contract management, proposal drafting, and other Upwork automation tasks via natural language.

Enables AI assistants to manage task lists, tasks, subtasks, due dates, notes, and completion through the Google Tasks API, including reversible completion and syncing changes.

An MCP server that lets Claude manage Google Tasks, including listing, creating, updating, completing, moving, and deleting tasks and task lists. It supports both local and remote deployments and can be used with Claude Desktop or as a Cloudflare Worker.

MCP server for Google Tasks that enables reading, creating, editing, completing, reordering, and deleting tasks via the Google Tasks API.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

A generic task manager (like Monday, Jira, Trello) with MCP as its only interface, enabling task and user management via natural language through Claude.

Enables AI assistants to manage Google Tasks (list, create, complete, delete tasks) through the Model Context Protocol.

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.

Enables AI assistants to extract and query Obsidian Tasks from markdown files, supporting task metadata and advanced filtering via Obsidian Tasks query syntax.

Gives Claude seven tools to list, create, update, complete and delete Google Tasks and task lists in your own account, including tasks assigned from Google Docs and Chat. It runs as a remote MCP server you deploy to your own Vercel account, where Claude connects over OAuth with a self-renewing Google sign-in.

Enables reading and writing Google Tasks checklist items through the Google Tasks API, including listing task lists and tasks, and creating, updating, completing, or deleting tasks.

Enables AI assistants to manage Google Tasks, including listing, creating, updating, deleting, and completing tasks via the Google Tasks API.

Enables managing Google Tasks through natural language, including listing, creating, completing, deleting, and updating tasks.

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.

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.

Enables MCP clients to manage Google Tasks via stdio, including CRUD on task lists and tasks, toggling completion, sorting/moving, and bulk-hiding completed tasks.

A Model Context Protocol (MCP) server that brings your Google Tasks into Claude and other MCP-compatible clients, enabling task and task list management through natural conversation.

Enables AI-assisted task management by extracting and querying Obsidian Tasks from markdown files, with support for status mapping, date filters, and Obsidian Tasks query syntax.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables full read/write access to Google Tasks from any MCP client, including creating, updating, completing, deleting, and moving tasks and task lists with real due dates.