#sk

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

MCP Server example with TypeScript

Curated lists of mcp servers to use with ai agents or claude desktop

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This MCP server enables advanced task and project management via Claude Desktop and other MCP-compatible clients.

A Model Context Protocol server for Zendesk

MCP Server for GNU Make

A CLI tool for enhancing Claude Desktop with additional capabilities and workflows

MCP server designed to help you search and analyze your photo library (iCloud)

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Career and workforce intelligence built on a deep HR ontology — skill taxonomies, role definitions and responsibilities, compensation and incentive structures, learning and development pathways, sourcing strategies, and role/skill evolution mapping. This structured foundation, combined with a RAG knowledge base curated from 50+ premium sources (HBR, McKinsey, BCG, Gartner, Forrester) and updated 3x daily with live web research, powers 6 guided skills and 42 MCP tools for two audiences: working professionals getting personalized career intelligence (CV optimization, salary benchmarking, career strategy), and HR/TA teams running structured talent evaluation, candidate shortlisting, compensation analysis, and consulting-grade workforce research reports. Example Use Cases (for HR/TA teams): 1. Custom Evaluation Models — Train CareerProof on your organization's existing assessment rubrics, scorecards, and evaluation criteria to build custom eval models that evaluate candidates through your specific lens. Upload your competency frameworks and historical assessments, then run inference on new candidates — scored and ranked exactly how your team would, at scale. 2. Candidate Evaluation & Shortlisting — Set up a hiring context with company profile and job description, upload candidate CVs, then batch-rank them with GEM competency scoring and JD-FIT matching. Apply your custom eval models for organization-specific scoring, or deep-dive any candidate with a 360-degree evaluation including tailored interview questions derived from skill taxonomy analysis. 3. Workforce Research Reports — Generate consulting-grade PDF reports across 16 types (salary benchmarking, skills gap analysis, org design, DEI assessment, succession planning, sourcing strategy, and more). Each report is grounded in real-time market data from premium sources and structured around HR ontology — role definitions, compensation structures, L&D pathways, and skill evolution mapping. 4. Compensation & Incentive Benchmarking — Get market-calibrated salary and total compensation intelligence for any role, location, and industry. Analysis is structured around compensation and incentive frameworks from the HR ontology, enriched with live web research and curated knowledge base data covering base salary, equity, bonuses, and benefits. Example Use Cases (for the working professional or career coach): 1. Career Intelligence Chat (Hyper-Personalized) — Ask career strategy questions and get hyper-personalized responses that fuse your CV context with deep insights from the career and workforce RAG knowledge base. Salary benchmarks calibrated to your function and location, industry disruption analysis mapped to your skill profile, and career pivot recommendations grounded in role evolution data — not surface-level answers, but intelligence drawn from the same sources that inform executive strategy. 2. CV Optimization (Hyper-Personalized) — Upload your CV and receive a hyper-personalized positioning pipeline that combines your actual experience with deep insights from our career and workforce RAG knowledge base. Market analysis calibrated to your industry and seniority, career opportunity identification grounded in role/skill evolution data, and targeted edits with trade-off analysis — not generic advice, but intelligence shaped by 50+ premium research sources and your unique career trajectory.

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A collection of MCP servers for various tasks

Kanban board designed for ai agents to keep track of multi-step tasks. Includes HIL Web UI and MCP server.

Official MCP server for TrackingTime, the time tracking and productivity platform. Query time entries by user or across your entire team, list projects, tasks, customers, and workspace members. Supports date filtering and pagination. Hosted via SSE — no install needed.

discover and install MCP servers

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Interact with Todoist to manage your tasks.

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An Stdio MCP server providing a bridge to servers using other Transports

Notion MCP Integration is a lightweight Model Context Protocol (MCP) server that seamlessly integrates with Notion's API to manage a minimalist personal to-do list through Claude. This project provides basic functionality tailored specifically for a simple Notion database structure, enabling efficient task management without unnecessary complexity.

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MCP server that provide tools to LLMs such as claude in cursor to interact with MongoDB

NEXUS MCP- Simple MCP server for Claude Desktop

ESA.io Model Context Protocol server for Claude Desktop

A simple MCP Server for Taskwarrior

Agile Luminary: Bring Order to Your Vibes Product teams lose critical context every time work moves from planning to development. Stories get misinterpreted, features break, and developers rebuild what already exists because the connection between vision and code is broken. Agile Luminary is the AI-native project management tool that keeps your entire product context connected. Transform simple prompts into comprehensive documentation, user stories, and workflows that stay linked from concept to code. Never Lose Context Again Connect all your work directly to your AI IDE (Cursor, Claude, Windsurf). When developers start coding, they have instant access to related stories, requirements, and context. Your AI coding assistant knows what you're building, what already exists, and what not to break. From Vision to Velocity Start with your big picture—Vision, PRD, Epics—and let Agile Luminary intelligently break down work into manageable, connected pieces. Each story carries forward the context from your broader goals, ensuring nothing gets lost in translation. The result? Your team stays focused on high-impact work instead of piecing together fragmented information and fixing preventable mistakes.

Node.js MCP server for UpGuard CyberRisk API integration. Provides comprehensive cybersecurity risk assessment tools with stateless HTTP transport, caching, and resilience patterns.

A powerful MCP (Model Context Protocol) server for Claude Desktop, integrating task management, SQLite, and Obsidian visualization.

Todoist MCP server for Claude, using python Astral UV

An MCP server for Android's Tasker automation app.

AI-powered goal management MCP server. Break down goals into phases and tasks, track progress, report blockers, and export plans — all from your AI assistant.

MCP server for removing Gemini watermarks

MCP Server for skrape.ai, lets you input any URL and it returns clean markdown for the LLM

Multi-project memory MCP - A Model Context Protocol server for managing project memory and context

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Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use with LLMs and AI assistants such as Claude.

A Model Context Protocol (MCP) server for Windows desktop automation using AutoIt.

MCP server for searching patients and creating tasks in Flight Health Atlas system.

MCP server for apple notes