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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 MCP server for capturing screenshots

MokeWenShu is an AI-powered analysis tool for China Judgments Online, leveraging NLP and legal knowledge graphs to enable conversational document analysis, similar-case pattern mapping, and visualized judgment trend tracking, delivering dynamic insights for legal decision-making.

A powerful VSCode extension that enables MCP server usage in Copilot, giving it access to MCP tools, resources, and more.

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The Gatherings MCP Server provides an API that allows AI assistants to interact with the Gatherings application through the Machine Conversation Protocol. This enables AI systems to help users manage shared expenses for social events, outings, or any gathering where costs are split among participants.

MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.

MCP server for OpenShift.

NEXUS MCP- Simple MCP server for Claude Desktop

This project is a Node.js application designed for use with Claude Desktop. It simulates a CO2 sensor device and provides a JSON-RPC server to interact with the device. The application can run in both simulation mode and real mode, where it connects to a Raspberry Pi Pico via USB to read CO2 levels.

This is a TypeScript-based MCP server, which wraps around a python script. together it helps track expenses and payments for social events, making it easy to calculate reimbursements and settle balances between friends.

A chrome extension bridge that allows you to connect to a mcp server to use global window object.

experimental gen ai mcp server to generate figma tokens

MCPMonkey is an MCP server and Firefox extension so your AI agent can access your browser

AppContext is a personal MCP hub for macOS that aggregates all your MCP servers behind one endpoint, plus gives AI coding agents live visual context from your iOS simulator and Chrome browser. Configure MCP servers once, use them in Claude Code, Cursor, Windsurf, or any MCP client. Includes per-tool authorization policies (block, allow, rate-limit).

Um server MCP para o figma. Cria imagens também.

An MCP server for deep git repository investigation and analysis. Provides detailed insights into repository history, branch relationships, and development patterns, focusing solely on git repository analysis rather than general GitHub or git operation.

MCP Server for OpenShift Must-gather

A browser extension and MCP server that allows you to interact with the browser you are using.

A basic MCP server for tool exposure using FastMCP and VS code extension distribution

Cursor Model Context Protocol (MCP) extension for Chrome - with comprehensive test coverage

A Model Context Protocol (MCP) server that integrates Volatility 3 memory forensics framework with Claude

A lightweight and extensible service that enables AI assistants to securely execute OpenStack CLI commands via the Model Context Protocol (MCP)

MCP basic

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Create professional app store screenshots, device mockups, and marketing visuals from raw screenshots using AI. Mockupper helps agents generate polished presentation assets faster for launches, ads, and store listings. Requires a Mockupper MCP API key generated from the mobile app. Get X-API-Key from: https://damdafa.sng.link/Dt0bf/qlfh1/tdhk

AI Agent for @NSEChainBridge

Semantic search through Dickens' classic novella - find passages by meaning, theme, or character, not just keywords.

Decode VINs, look up specs, history, recalls, market value, and OBD codes. Recognize license plates and VINs from images. Access comprehensive vehicle data by year, make, and model to power automotive workflows.

A Visual Studio Code extension for Model Context Protocol (MCP) server implementation

Model Context Protocol (MCP) server for Kubernetes and OpenShift containers, context, kubernetes, mcp, model, model-context-pr, openshift, protocol

x402-native API gateway for AI agents. 20+ capabilities (web scraping, screenshots, search, email, translate) — pay-per-use in USDC, no API keys needed.

Chrome Extension MCP Server implemented in Go - For Model Context Protocol to interact with Chrome extensions

iOS Forensics MCP Server for analyzing iPhone/iPad file systems

MCP server that visually reviews your agent's design edits