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    A Model Context Protocol server that exposes Microsoft Edge browsing history across multiple profiles, allowing listing profiles and fetching history for a given day.
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    Provides AI assistants with real-time prediction market consensus data, including probabilities, opportunities, signals, and settlements.
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    A cross-platform MCP server that enables Claude to speak using Microsoft Edge TTS with support for over 300 voices across 50+ languages. It requires no API keys and allows for customization of speech rate, volume, and pitch.
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    Provides calibrated weather probability signals for Kalshi prediction markets by combining dual-model forecasting (NWS + GFS ensemble) to identify mispriced temperature markets. Enables AI agents to access bias-corrected forecasts and edge signals for weather prediction market intelligence.
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    This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for Raisers Edge NXT (beta): https://www.cdata.com/download/download.aspx?sku=JZZK-V&type=beta
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    PT-Edge gives AI assistants live intelligence on the AI ecosystem — 47 tools to search 11K+ GitHub repos, 18K+ HuggingFace models, 42K+ datasets, and 2,500+ public APIs, plus trend analysis, project comparison, and community discourse tracking across Hacker News and V2EX.
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    A native TypeScript/Node.js MCP server providing low-level, high-performance control over Microsoft Edge via raw CDP WebSockets, bypassing heavy automation layers like Playwright or Puppeteer.
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    Enables control of Microsoft Edge browser via the DevTools protocol, supporting page navigation, screenshots, DOM manipulation, JavaScript execution, and network monitoring.
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    Enables AI agents to search and list Microsoft Edge browser favorites by keyword, folder, or list all folders.
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    Safety-conscious MCP server for read-only access to Emerson DeltaV Edge systems, enabling engineering investigation workflows and offline artifact generation.
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    Metatron is a self-hosted system that captures a codebase's real implementation decisions — preferred patterns, rejected approaches, edge cases, internal conventions — as structured priors, and serves them to coding agents over MCP
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    From idea to edge. Everyone has unique opinions and views of the world. Varrd makes it possible for everyone regardless of statistical, coding, or market knowledge to be able to find their unique edge. The issue with LLMs testing for edges in the market is redundant idea loops, overfit with confidence, and waste days exploring nonsense. Varrd is the infrastructure and guardrails to prevent those f
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    24/7 autonomous monitoring and edge detection for prediction markets (Kalshi & Polymarket). Features causal tree analysis, orderbook depth tracking, cross-venue comparison, and real-time alerts.
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    Real-time prediction market consensus data for AI agents. Aggregates probabilities from 27,000+ markets across politics, sports, and economics with 14-second updates. Tools: get_markets, get_consensus, get_movers, get_divergences, search_markets.
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    Enables querying and exploring Cribl Stream and Edge deployments, providing access to worker groups, fleets, sources, destinations, pipelines, routes, event breakers, and lookups through a structured interface.
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    MIT No Attribution