"Employee Attrition Analysis and Prediction MCP" matching MCP servers:

Enables querying employment rates by sector (agriculture, industry, services) for a given country and year using World Bank API.

MCP server that connects Claude to a MySQL employees database, enabling listing, searching, adding, and analyzing employee records through natural language.

Enables Alexa+ users to manage home-care services, compare options, schedule or change visits, and keep records of completed work.

Provides AI agents with real-time prediction market odds from Polymarket and Kalshi, enabling them to browse active markets, retrieve detailed probabilities and trading data, and discover trending markets via x402 micropayments.

An MCP server that provides tools to query and analyze an employee knowledge graph in Neo4j, including semantic resume search, person similarity, and read-only Cypher queries.

Provides search, trending, odds, arbitrage, and category browsing for prediction markets (Polymarket & Kalshi) via the Model Context Protocol, enabling AI agents to access live market data without API keys.

Wraps a hosted prediction market API to expose estimation, sizing, scanning, ensemble, and service-information tools for experimental research, returning payment-required details on HTTP 402 responses without handling payment itself.

Enables managing employee leave records through natural language, including adding employees, listing employees, adding/deleting leave entries, and viewing leave history.

A simple MCP server that grabs prediction market data from polymarket, PredictIt, & Kalshi.

This MCP server enables AI-assisted professional profile generation by connecting to verified employee work data (skills, career history, certifications, projects) from employer HCM systems.

MCP server for querying employee data via tools like get_employees and get_employee_by_id. Serves as a proof-of-concept for integrating Pega applications with AI agents.

Unified access to prediction market data from Kalshi and Polymarket, enabling natural language queries for real-time odds, orderbooks, and trade history.

The Behavioural Prediction MCP Server provides AI-powered tools to analyze wallet behaviour prediction,fraud detection and rug pull prediction.

Enables employee management operations including listing, searching, creating, updating, and deactivating employees, as well as generating organizational summaries, using a synthetic JSON dataset.

Enables managing employee leave through natural language, including checking balances, applying for or canceling leave, and viewing history, with data stored in a local SQLite database.

Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.

MCP server providing tools to browse prediction-market venue friction data (fees, KYC, withdrawals), fetch venue details, get natural-language venue recommendations, and learn about the paid changes feed.

Enables local analysis of unstructured documents (PDF, DOCX, PPTX, SVG, PNG) by extracting text and structure with citation anchors, and verifies summaries against source material before a human approves saving a report.

Enables querying the Gibraltar Prediction Market Regulations 2026 in plain English via MCP clients, returning exact cited regulation text.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.