@apifyforge
基本情報
Cognitive warfare and PSYOPS analysis for AI agents via the Model Context Protocol.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"cognitive-warfare-psyops-mcp": {
"url": "https://ryanclinton--cognitive-warfare-psyops-mcp.apify.actor/mcp"
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
An MCP server that provides AI agents with eight specialized tools for cognitive warfare and psychological operations analysis. It accesses 16 parallel Apify data sources—social media, regulatory, sanctions, infrastructure, geopolitical, and archival—and applies quantitative frameworks from epidemiology, evolutionary biology, statistical physics, and game theory. Built for STRATCOM analysts, platform integrity teams, counter-disinformation researchers, and intelligence-augmented AI agents.
Add the server to your MCP client (Claude Desktop, Cursor, Windsurf) using the provided JSON configuration. The server exposes eight tools callable from any MCP-compatible client, each returning structured JSON. Tools are priced per call and check spending limits before execution.
Traditional tools count mentions and measure sentiment. This server provides quantitative frameworks—SIR epidemic modeling, Bayesian game theory, topological data analysis—to detect coordination, attribute causality, forecast polarization transitions, and optimize intervention timing.
16 sources in parallel: Bluesky Social, Hacker News, Wikipedia, Federal Register, Interpol Red Notices, OpenSanctions, Website Change Monitor, Wayback Machine, REST Countries, GDACS Disaster Alerts, Congress Bill Tracker, NOAA Weather, GitHub Repo Search, Website Content to Markdown, DNS Lookup, and IP Geolocation.
No. The server runs as an Apify actor. No infrastructure to manage or data pipeline to build. Query 16 sources in parallel via a single tool call.
Each tool call has a fixed price (e.g., $0.050 for `detect_narrative_operations`). The server checks your event charge limit before executing and stops gracefully if reached. The server stays warm between calls via standby mode, eliminating cold start latency.
Coupled SIR-Hawkes, DeGroot social learning, Bayesian Stackelberg games, submodular greedy influence maximization, persistent homology, doubly-robust causal inference, Price equation evolutionary dynamics, Haar wavelet packet decomposition, and q-state Potts model for phase transition forecasting.
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