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

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

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.

Enables MCP clients to search Polymarket and Kalshi, read live implied probabilities and order books, compare the same question side by side across both venues, and produce short markdown briefings with cited sources. It is read-only, needs no API keys, and performs no trading.

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

Enables analysis of YouTube videos using the Gemini API to generate summaries and answer specific questions via direct URLs. It supports standard videos and shorts, allowing users to interact with video content without requiring manual downloads.

Enables MCP clients to query live Polymarket and Kalshi odds, price history, movers, resolved and closing markets, cross-platform gaps, watch-based change tracking, and X/Twitter sentiment in a single call, paying per request in USDC on Base via x402. Also surfaces ticker-linked event markets and a free example call so agents can inspect results before spending.

Real-time prediction market intelligence for AI agents. Query Polymarket and Kalshi markets, wallet profiles, smart money leaderboards, social pulse signals, price candlesticks, and orderbook data — 13 agents, one MCP connection. Powered by 1.1TB+ of historical data.

A read-only MCP server for exploring and analyzing a Secoda data catalog, enabling AI chat, semantic search, glossary browsing, and data lineage tracing.

Provides access to real-time LLM pricing, speed metrics, and performance benchmarks for over 300 models from Artificial Analysis. It enables users to list, filter, and compare models based on costs, tokens per second, and intelligence indices.

Enables to search, analyze, and export Douyin (TikTok China) video and user data, including interaction metrics, content length, and keyword trends.

Enables intelligent web searching using SearXNG with content crawling via Creeper, then summarizes webpage content using LLM to avoid token limit issues. Supports smart filtering with domain blacklist/whitelist and optional LLM-based relevance filtering.

Facilitates semantic analysis of chat conversations through vector embeddings and knowledge graphs, offering tools for semantic search, concept extraction, and conversation pattern analysis.

Enables querying Rick and Morty characters, locations, and episodes using the Rick and Morty API with no authentication required.

Provides access to real-time and historical Indian stock data via Yahoo Finance API, enabling local LLMs to retrieve stock information through MCP-compatible agents like Claude Desktop and Cursor.

Offers real-time stock prices, sector and historical analysis, top performers for NSE and global markets, plus stock-specific and general market news with intelligent caching and fallback data.

Provides tools for fetching real-time news and performing AI-powered sentiment analysis and summarization using Mistral AI. It enables users to analyze news trends and extract structured insights through natural language queries.

Allows Claude and other MCP clients to access real-time and historical stock market data from Alpha Vantage API, including intraday and daily stock data with customizable intervals.

Search the fastest-growing US horse boarding directory: 6,000 facilities and 3,800 trainers across 48 states, plus boarding price data by state.

A weather MCP server that provides current conditions, forecasts, and prediction tools (umbrella, travel recommendations) so agents can answer natural-language weather questions.

Enables natural language queries over employee and project data by exposing database-backed business tools to a Gemini agent, allowing the agent to fetch live details from PostgreSQL and answer with readable responses.