#sme

A Model Context Protocol (MCP) server for analyzing GitLab repositories and performing security assessments.

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.

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

MCP server for CIRCL CVE Search API with intelligent risk assessment and comprehensive vulnerability analysis.

A technology layer for Latin American SMEs that connects AI assistants to major payment gateways. Query sales, manage CRM, and generate payment links across multiple processors using natural language.

Know what every shell command does before you approve it.

The first payment-contingent FX protection server on MCP. Price a Guard (invoice-linked FX protection for SME invoices and payables), get live spot and forward rates, model 25 years of historic FX stress scenarios, and resolve settlement dates — all via natural conversation. Public endpoint, no authentication required. Designed for PSPs, accounting platforms, and agentic cross-border payment workflows.

Israeli professional cosmetics retailer. MCP server exposes ΔE-ranked shade matching, customer wallet lookup, cart and order tools, and gift-card validation. Catalog tools work anonymously; customer-data tools require a bearer token issued via shop@makeup.land.

MCP server for makeup.land — an Israeli professional cosmetics retailer. Catalog tools (anonymous) expose cross-lingual semantic search and ΔE-ranked shade matching with per-product `shade_match: {hex, delta_e}` enrichment. Customer-data tools (bearer-gated) cover wallet (ℳ-credits + M Club tier), cart, orders, payment links, and gift-card validation.