causal-panopticon-mcp

> [View on ApifyForge](https://apifyforge.com/actors/mcp-servers/causal-panopticon-mcp) | [Use on Apify Store](https://apify.com/ryanclinton/causal-panopticon-mcp)

---

Add to your MCP client (Claude Desktop, Cursor, Windsurf):

{
  "mcpServers": {
    "causal-panopticon-mcp": {
      "url": "https://ryanclinton--causal-panopticon-mcp.apify.actor/mcp"
    }
  }
}

---

Causal Panopticon is a cross-domain causal discovery and inference engine for AI agents, exposed via the Model Context Protocol. It orchestrates 18 heterogeneous data sources across economics, health, environment, security, policy, finance, academia, and labor — applying 8 peer-reviewed causal algorithms to discover what actually causes what, not just what correlates.

Built for researchers, policy analysts, and AI agents that need to move beyond correlation into causal structure. Each tool call fires up to 18 data actors in parallel, assembles a causal graph, and returns structured inference results — average treatment effects, counterfactual values, transportability verdicts, and validated DAG structures — over a single MCP connection.

| Data Point | Source | Coverage | |---|---|---| | 📊 Economic time series | FRED Economic Data | 800K+ US series | | 👷 Labor statistics | BLS Economic Data | US employment, wages, prices | | 🌐 Global macroeconomic indicators | IMF Data | 190 countries | | 🏥 Health statistics | WHO GHO Data | Global health metrics | | 🧪 Clinical research | ClinicalTrials.gov | Registered trials worldwide | | 🔬 Biomedical literature | PubMed Search | 35M+ articles | | 🌦️ Weather and climate data | NOAA Weather | US and global observations | | 💨 Air quality measurements | OpenAQ | Global monitoring stations | | 🔐 Cyber vulnerabilities | NVD CVE Search | All published CVEs | | 📜 US legislation | Congress Bill Search | Active and historical bills | | 📋 US regulatory f