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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.

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.

Uses Claude or OpenAI API to convert prompt-mapped input into concrete MCP server components such as tools, resource templates, and prompt handlers.

Analyse PowerBI models and reports (.pbix) using AI through this MCP-server implementation of PBIXRay.

a MCP server to lol esport information

KinielaGPT es un servidor MCP (Model Context Protocol) diseñado para potenciar tus predicciones de la Quiniela mediante un análisis avanzado de datos. Combina las probabilidades oficiales de LAE con un análisis contextual profundo: histórico de enfrentamientos, rachas recientes, clasificación y rendimiento como local o visitante. Ofrece tres estrategias de predicción, detección de sorpresas y un análisis pormenorizado partido a partido.

Query maritime vessel tracking data via natural language. Search vessels by name/IMO/MMSI, get real-time positions, ETAs, portevents, emissions, inspections, casualty records, and NAVTEX safety messages. Powered by vesselapi.com.

Model Context Protocol for WinDBG

ipl-schedule-api-mcp-server

AI running coach that syncs your Strava data, builds personalized training plans, manages your race calendar, tracks body signals and shoes, and assigns you a running character. Join pack challenges and collective expeditions with your community. Backed by 70+ sports science papers.

Compare ticket prices across 7+ marketplaces for concerts, sports, theater & comedy. Find bargains on live event tickets with all fees included. Covers Boston and NYC.

Automatically generates a full MCP server codebase (Node/Python/Java) using the validated schema, outputting modular files for CLI-based execution or Claude Desktop connection.

Enables any MCP-compliant agentic platform (Claude, Grok, TypingMind, Cursor, etc.) to auto-discover generated MCP servers and sync capabilities from build metadata.

AI-powered League of Legends professional esports match predictor and summoner analysis tool. Predict outcomes for T1, Faker, Zeus, and other pro players with advanced statistical modeling.

All-in-one offensive security toolbox with AI agent and MCP architecture. Integrates tools like Nmap, Metasploit, FFUF, SQLMap. Enables pentesting, bug bounty hunting, threat hunting, and reporting. RAG-based responses with local knowledge base support.

Advanced NBA odds tracking, betting analysis, and trivia MCP server for Claude Desktop with line movement detection and AI/ML game simulations

High-performance XML file comparison with semantic analysis capabilities. Features StAX streaming parser for memory-efficient processing of large XML files (60MB+ tested), order-agnostic semantic comparison, and multiple output formats (text, JSON, Excel). Includes 5 MCP tools for comprehensive XML analysis and comparison.

MCP server for Finally Offline, an independent cultural publication covering fashion, music, sneakers, design, and technology. Agents can browse curated articles, subscribe with a webhook URL, and generate full branded HTML newsletters on demand. Tools: get_articles, subscribe, generate_digest. No API key required for browsing.

Search 4,900+ upcoming card shows, conventions, trade nights, and estate sales across 49 US states. Find events near any city, state, or ZIP code with dates, venues, admission info, and Google Maps directions. No API key required. Updated weekly from 10 verified sources.

Query real-time prediction market consensus data from Claude and AI agents. Aggregated probabilities from multiple regulated prediction markets, updated every 10 minutes. 5 tools: get_consensus, get_opportunities, get_signals, get_markets, get_settlements. Coverage: NBA, NFL, MLB, NHL, MLS, US politics, economics. Free tier: 100 API calls/day.

Official MCP server for TrackingTime (trackingtime.co). Query time entries, projects, tasks, customers, and team productivity data from Claude, Cursor, or any MCP-compatible AI client. Read-only. Works with SSE and HTTP transports.

Inspect, manage, and kill local dev servers via MCP. Stop guessing what's on :3000. Five tools: list servers with framework detection, inspect ports, find zombies, diagnose conflicts, safe-kill with dry-run default. Local, no cloud, no telemetry.

Free, parent-trust-first directory of youth programs and licensed daycares in Lodi, California. 72 MCP tools across public search (programs, daycares, events, cities), parent account management (kids, saves, household co-accounts, calendar feeds), org listing management, and daycare-specific overlays (waitlist, applications, age-band capacity). Anonymous public access works without auth; personalized access uses a bearer token generated at lodikidsactivities.com/account/mcp.

Fodda gives AI agents access to expert-curated knowledge graphs across retail, beauty, sports, consumer electronics, fashion, and innovation, plus a supplemental layer of 22 institutional data sources including FDA, FRED, PubMed, BLS, and Census. Agents query structured, sourced context via MCP for grounded, defensible outputs. Features: • 30 tools for search, traversal, evidence retrieval, and analysis • Knowledge graphs across six industry verticals • 22 institutional data sources (government, scientific, economic) • Earnings intelligence with analyst concerns and management responses • Brand tracker, deep research, and brainstorming tools • Source attribution and provenance for every node

Conduct comprehensive research projects using a virtual computer equipped with a real browser, coding tools, document creation capabilities, and more. Deep Research by Openhelm enables your agent to tackle work such as: • Market and competitor analysis • Industry and company research • Investment and acquisition due diligence • Technical and scientific investigations • Report generation with sources and evidence What makes OpenHelm the best solution for this: • Research is continuously reviewed and refined by a powerful AI to maximise accuracy and completeness • Uses a highly capable stealth browser that can access more of the web than traditional research agents • Multi-step workflows allow findings to be validated, expanded, and synthesised automatically • Generates structured outputs rather than simply returning search results For high-stakes research that requires depth, accuracy, and persistence, OpenHelm provides a secure remote environment where complex investigations can be completed autonomously.

AgenticBI is an agentic analytics platform that turns business questions into answers.Connect BigQuery, Salesforce, SAP, Google Drive, Trino, and more. Agents understand your data, find the right datasets, join across systems, run queries, and return answers with visualizations.Or skip the question and automate the workflow entirely. "Send me a sales report every morning at 8 AM." The agent identifies the data, picks the metrics, builds the dashboard, and sets up recurring delivery to your inbox or Slack.Structured data and documents in the same query. No SQL. No analyst. Works with Claude, Cursor, VS Code, and ChatGPT. Turn on screen reader support Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.