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HttpStatus MCP Server gives AI assistants 24 production-ready tools for API development workflows. Test, mock, monitor, and secure APIs directly from Claude, Cursor, Windsurf, or any MCP-compatible client.

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.

Advanced MCP server providing comprehensive time and timezone tools.

mcp server for the time and date

MCP server to update README.md using Ollama for conflict analysis.

Simple Rust MCP server to provide the current date and time to LLMs.

An MCP server that enables interactive, browser-based user interfaces. It allows any MCP-aware AI chat client to generate charts, diagrams, visualizations, forms, calendars, and more — powered by context data, outputs from other tools, or synthesized by an LLM. The resulting UIs are fully interactive, editable, and customizable, making it easy to build dynamic workflows and visual experiences directly within the chat environment. Features: Chart Creation, Diagram Creation, Data Visualization, Form Generation, Calendar Creation, Date/Time Picker

MCP server for coding

jalali date mcp server

The npm-package-mcp-server allows users to efficiently access and analyze source code from any NPM package. With features like smart file discovery and selective code reading, it streamlines the process for developers. 🐙🌐

A Model Context Protocol (MCP) server providing tools for NPM package management and dependency updates. Helps LLMs like Claude interact with npm packages, search npm registry, and keep dependencies up-to-date.

LambdaTest MCP Servers ranging from Accessibility, SmartUI, Automation, and HyperExecute allows you to connect AI assistants with your testing workflow, streamlining setup, analyzing failures, and generating fixes to speed up testing and improve efficiency.

Enhanced MCP server for SearXNG: category-aware web-search, web-scraping, and date/time retrieval.

HyperExecute MCP Server is LambdaTest’s AI-native test orchestration platform that simplifies and accelerates automated testing. Unlike traditional AI systems limited to conversation, HyperExecute MCP leverages the Model Context Protocol (MCP) to seamlessly connect AI assistants with your testing environment—reducing setup time from weeks to minutes. With HyperExecute MCP Server, you can analyze code, generate test commands, auto-create configuration files, and gain real-time execution insights through specialized tools.

Verified locale data for AI agents: dates, phone numbers, currency formatting, VAT/sales-tax by date, public holidays, and addresses (UK & US). Returns checked answers and flags impossible inputs instead of guessing.

MailboxValidator MCP server validates email addresses using MailboxValidator API to ensure your mailing list is clean and to reduce email bounces during marketing campaigns. With a free MailboxValidator API key, users can query up to 300 emails per month. If more queries are required, users can opt for a paid API plan instead. https://www.mailboxvalidator.com/plans#api

Provably correct day-count and accrued-interest calculations. A small, dependency-light TypeScript library and an MCP server, so an AI agent can get the exact number instead of guessing.