Civilizational Fragility MCP Server

What is Civilizational Fragility MCP Server?

Civilizational Fragility MCP Server gives AI agents access to cross-domain cascading collapse risk analysis backed by 17 live data sources and 10 mathematical frameworks. It is built for researchers, national security analysts, institutional risk teams, and AI systems that need grounded, quantitative answers about systemic collapse, tipping points, and cross-domain contagion.

How to use Civilizational Fragility MCP Server?

Add the server URL to your MCP client configuration (Claude Desktop, Cursor, Windsurf, Cline) using an Apify token. The server runs as an always-on Apify Standby actor and exposes 8 specialist tools. Tool calls fire 17 data sources in parallel and run the algorithms to produce a structured fragility report.

Key features of Civilizational Fragility MCP Server

• 8 specialist MCP tools for fragility assessment
• 17 live data sources queried in parallel (FRED, IMF, World Bank, NOAA, FEMA, etc.)
• 10 mathematical frameworks (sheaf cohomology, Kaneko CML, persistent homology, etc.)
• Risk grades A–F derived from composite overallFragility score
• Structured recommendations in every report for agent reasoning
• Standby mode with no cold-start latency and pay-per-call pricing

Use cases of Civilizational Fragility MCP Server

• National security quarterly risk briefings spanning economic, geopolitical, health, and environmental domains
• Automated early warning systems using Lyapunov exponents and sheaf cohomology obstruction signals
• Academic research on systemic risk and sociotechnical collapse with topological data analysis outputs
• AI agent augmentation for live, grounded macro risk reasoning and intervention planning
• Long-term institutional strategy analysis using Moran process and mean-field game outputs

FAQ from Civilizational Fragility MCP Server

How does this compare to manual risk assessment or commercial platforms?

Manual multi-domain assessment takes weeks and commercial platforms charge $15,000–$50,000 per year for static reports. This server automates the entire pipeline: a single tool call fetches fresh data across 17 sources in parallel and runs 10 algorithms, producing a structured report in minutes.

What are the runtime requirements and dependencies?

You need an Apify API token (from Apify Console > Settings > Integrations) and an MCP-compatible client (Claude Desktop, Cursor, Cline, etc.). The server runs as an Apify Standby actor; no local installation is required.

Where does the data come from and how fresh is it?

Data is fetched live from 17 sources including FRED, IMF, World Bank, NOAA, FEMA, USGS, GDACS, OpenAQ, NVD, CISA KEV, WHO, ClinicalTrials.gov, Congress Bills, Federal Register, and OFAC Sanctions. All sources are queried in parallel on each tool call, so results are current.

What is the cost per tool call?

The server uses pay-per-call pricing with no subscription. Estimated costs range from $200–$500 per tool call depending on the tool used (e.g., assess_cascading_fragility is $300–500, detect_tipping_proximity is $200–350).

What transport and authentication does the server use?

The server uses a URL-based MCP transport with token authentication. The token is passed as a query parameter (?token=YOUR_APIFY_TOKEN) in the server URL configured in your MCP client.