Cognitive Warfare & PSYOPS MCP Server

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Quick Start

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

{
  "mcpServers": {
    "cognitive-warfare-psyops-mcp": {
      "url": "https://ryanclinton--cognitive-warfare-psyops-mcp.apify.actor/mcp"
    }
  }
}

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Cognitive warfare and PSYOPS analysis for AI agents via the Model Context Protocol. This MCP server gives Claude, Cursor, Windsurf, and any MCP-compatible client access to 8 specialized tools that detect coordinated narrative operations, model belief propagation, optimize counter-narrative strategy, and forecast polarization phase transitions — all powered by 16 Apify data sources queried in parallel.

Each tool applies a distinct mathematical framework derived from epidemiology, evolutionary biology, statistical physics, and game theory. The result is a structured, quantitative analysis of information warfare that goes beyond keyword monitoring into causal attribution, topological network mapping, and memetic fitness modeling — built for STRATCOM analysts, platform integrity teams, counter-disinformation researchers, and intelligence-augmented AI agents.

What data does this MCP server access?

| Data Point | Source | Coverage |
|-----------|--------|----------|
| 📡 Social media posts and engagement | Bluesky Social | Real-time Bluesky network |
| 💬 Community discussions and trends | Hacker News | Tech community discourse |
| 📚 Encyclopedic context and edit history | Wikipedia | 6M+ articles |
| 🏛️ US federal regulatory activity | Federal Register | All federal actions |
| 🚨 International wanted persons | Interpol Red Notices | Global notices |
| ⚠️ Global sanctions and PEP watchlists | OpenSanctions | 100+ programs |
| 🔄 Website content changes | Website Change Monitor | Media and government sites |
| 🕰️ Historical content evolution | Wayback Machine | Web Archive snapshots |
| 🌍 Country profiles and demographics | REST Countries | All UN member states |
| 🌪️ Global disaster and crisis events | GDACS Disaster Alerts | Worldwide coverage |
| 📜 Congressional legislation | Congress Bill Tracker | Current sessions |
| 🌩️ Weather events and crisis windows | NOAA Weather | US and global |
| 🛠️ Open-source tools and code | GitHub Repo Search | All public repositories |
| 📄 Policy documents (full text) | Website Content to Markdown | Any webpage |
| 🔍 DNS infrastructure records | DNS Lookup | Any domain |
| 📍 IP geolocation attribution | IP Geolocation | Global coverage |

MCP Tools

| Tool | Price | Description |
|------|-------|-------------|
| detect_narrative_operations | $0.050 | Detect coordinated narrative operations via coupled SIR-Hawkes epidemiological model. Classifies type (amplification/suppression/distortion/fabrication/polarization) with threat levels (LOW/MEDIUM/HIGH/CRITICAL). |
| model_belief_dynamics | $0.045 | Model belief propagation via DeGroot social learning on influence networks. Returns eigenvector centrality, spectral gap (convergence rate), polarization index, and belief cluster structure. |
| optimize_counter_narrative | $0.055 | Optimize counter-narrative strategy via Bayesian Stackelberg game. Returns optimal intervention actions, CUSUM/Shiryaev-Roberts timing alarms, and Stackelberg equilibrium payoffs. |
| map_influence_topology | $0.040 | Map influence network topology via submodular greedy influence maximization and persistent homology. Returns Betti numbers, echo chamber count, fragmentation index, and optimal influence seeds. |
| attribute_narrative_causation | $0.045 | Attribute narrative effects to specific actors via doubly-robust causal inference. Returns ATE, propensity scores, Rosenbaum sensitivity analysis, and ranked causal actors. |
| simulate_memetic_evolution | $0.050 | Simulate narrative variant competition via Price equation evolutionary dynamics. Returns fitness landscape, selection vs transmission decomposition, and dominant variant trajectory. |
| detect_cross_scale_coordination | $0.045 | Detect coordination patterns across individual/group/network/population scales via Haar wavelet packet decomposition. Returns cross-scale coherence matrix and dominant coordination signals. |
| forecast_polarization_phase_transition | $0.050 | Forecast polarization phase transitions via q-state Potts model. Returns order parameter, critical temperature, susceptibility, regime (CONSENSUS/PLURALISM/POLARIZED/FRAGMENTED), and irreversibility risk. |

Why use this MCP server for narrative intelligence?

Traditional social listening tools count mentions and measure sentiment. They cannot tell you whether a campaign is coordinated, which actors are causally responsible for a belief shift, how far a population is from an irreversible polarization transition, or what the optimal intervention timing would be against a modeled adversary.

This server provides the quantitative frameworks that analysts in STRATCOM, platform integrity, and counter-disinformation research already use — SIR epidemic modeling, Bayesian game theory, topological data analysis, evolutionary dynamics — delivered as MCP tools that an AI agent can call directly. No infrastructure to manage. No data pipeline to build. Query 16 data sources in parallel and receive a structured analytical output in a single tool call.

Key platform advantages:

- Standby mode — the server stays warm between calls; no cold start latency for time-sensitive operations
- API access — trigger any tool from Python, JavaScript, or any HTTP client with your Apify token
- Spending limits — each tool call checks your event charge limit and stops gracefully if reached
- 16 parallel data sources — social, regulatory, sanctions, infrastructure, geopolitical, and archival data in a single call
- Structured JSON output — every tool returns a typed result ready for downstream agent reasoning

Features

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