"Windows Performance Toolkit and xperf.exe" matching MCP servers:

Unofficial MCP server for Akiflow that enables AI agents to manage tasks, projects, and calendar via the Model Context Protocol.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.

A Model Context Protocol server that enables seamless interaction between MCP clients (like Claude Desktop) and CODESYS V3 programming environments, allowing automation of project management, POU creation, code editing, and compilation tasks.

MCP server enabling AI agents to interact with OpenProject API v3 for project management, including creating and managing work packages, projects, comments, time entries, boards, and user dashboards.

MCP server for AI assistants to interact with Atlassian Jira and Confluence Cloud APIs through typed tools and secure authentication.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.

Enables users to query, create, update, and manage Digital.ai Agility assets through MCP tools, with secure Windows Credential Manager authentication and configurable write operations.

Extends AI assistants with specialized tools for Cox Automotive workflows, connecting IDEs and clients to Rally, GitHub Enterprise, New Relic, Salesforce, and more through the Model Context Protocol.

A comprehensive MCP server providing advanced Redmine project analytics, web automation via Playwright, and iTunes music integration. It enables detailed tracking of sprint metrics, bug counts, and team performance through a token-optimized tool architecture.

A minimal MCP server for task management with a widget-based UI, built using the @miragon/mcp-toolkit.

Enables AI to read live weather data and manage a persistent to-do list through MCP tools, demonstrating both read and write capabilities without API keys.

Enables MCP clients to manage a project-local tracker by exposing sprint, task, and subtask operations as tools over stdio.

The PayPal Model Context Protocol server allows you to integrate with PayPal APIs through function calling. This protocol supports various tools to interact with different PayPal services.

Enables agents to read and report, and to carry human-authored updates into systems of record after human consent, while structurally preventing autonomous writes of commitments like owners, due dates, or statuses.

Fast native Swift OmniFocus MCP server and CLI for macOS. Let AI assistants safely read, update, complete, and organize tasks and projects through documented Omni Automation APIs.

Enables AI agents to interact with VoteShip feature requests, voting boards, roadmaps, and changelogs, including public board access without credentials and authenticated project administration with a project secret.

Enables AI agents to interact with Trello boards through MCP tools, including listing tasks, moving cards, commenting, labeling, and managing attachments.

A plugin-oriented Jira capability kernel for AI models, providing 24+ tools for Jira operations including issue search, comments, transitions, and project analysis via a dispatcher and HTTP service.

Provides AI clients with per-project todo management and persistent context notes via MCP, enabling task tracking and resume summaries.

A collection of MCP servers for Slack, Jira, Confluence, and release coordination to automate QA workflows and daily release status reporting.

MCP server built into Rillsoft Project 10 for multi-project resource planning (local, Windows)

Task board for MCP agents that lives on your desktop: four columns for agents to write into, per-task progress, stall detection and an append-only event log — plus an always-on-top Windows widget so you can watch a run without switching windows. Zero third-party dependencies.

A Model Context Protocol server that enables AI assistants to interact with Sentry for error tracking and monitoring, allowing retrieval and analysis of error data, project management, and performance monitoring through the Sentry API.

NavisCoord connects desktop AI clients to Autodesk Navisworks Manage on Windows for clash analysis, coordination groups, revision comparisons and illustrated reports. Version 1.0 is under release review in PR #19 and requires a licensed local Navisworks installation.

A token accounting plugin for Claude Code that meters AI token usage, attributes costs to Jira stories, and generates evidence-backed reports for performance reviews and budget requests.

Enables interaction with Autodesk ACC (Autodesk Construction Cloud) through the APS toolkit, allowing users to query hubs, projects, files, and versions via natural language through Claude Desktop.

MCP server that enables AI agents to manage tasks in the MyLifeOrganized (MLO) Windows desktop app locally via its command-line interface, providing tools for listing, searching, adding, updating, and syncing tasks without any cloud dependency.

Claude on Windows or Linux works in your WorkFlow tasks, notes and projects through your own iCloud.

Enables AI assistants to control, automate, and query desktop project-management schedules in real time via native Windows COM, including task/WBS management, resource and cost assignment, baselines, critical path, status reporting, and PDF export.

High-performance MCP server for integrating ClickUp with AI applications, featuring consolidated tools for task management, document operations, and bulk actions with intelligent caching and response optimization.