IFC GEMs Risk MCP Server

Access emerging markets credit risk data through your AI assistant

🎯 What It Does

This Model Context Protocol (MCP) server provides real-time access to the World Bank's IFC Global Emerging Markets (GEMs) Risk Database—a comprehensive source of credit risk analytics for emerging market lending.

Query credit risk data across three economic sectors:

Analyze 7 global regions, 15 economic sectors, and 40+ years of credit risk data (1984-2024).

🔧 How to Connect

MCP Endpoint

https://mcp.akgunaylabs.io/api/gems-risk/mcp

Claude Desktop Configuration

Add to your config file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "gems-risk": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.akgunaylabs.io/api/gems-risk/mcp"
      ]
    }
  }
}

📊 Available Tools (9 total)

1. get_default_rates

Query average default frequencies by region

Example: "What's the default rate in Latin America?"
2. get_recovery_rates

Retrieve recovery rates for defaulted loans

Example: "What's the recovery rate for sovereign debt in MENA?"
3. query_credit_risk

Comprehensive credit risk profile with default, recovery, and expected loss

Example: "Show me complete credit risk for East Asia"
4. compare_regions

Compare default and recovery rates across all regions

Example: "Compare default rates across all regions"
5. get_sector_analysis

Analyze credit performance by economic sector

Example: "Default rate for infrastructure in East Asia?"
6. get_project_type_analysis

Compare credit risk across project types

Example: "Compare greenfield vs expansion projects"
7. get_time_series

Track default and recovery rates over time

Example: "Show 10-year default rate trend for South Asia"
8. get_seniority_analysis

Compare senior vs subordinated debt recovery rates

Example: "Senior vs subordinated debt recovery rates"
9. query_multidimensional

Advanced queries across sector, project type, and seniority

Example: "Senior infrastructure loans in Latin America"

🌍 Coverage

Geographic Regions (7)

  • Global
  • East Asia & Pacific
  • Latin America & Caribbean
  • Sub-Saharan Africa
  • South Asia
  • Middle East & North Africa
  • Europe & Central Asia

Economic Sectors (15)

  • Infrastructure
  • Manufacturing
  • Financial Institutions
  • Oil & Gas
  • Agriculture
  • + 10 more sectors

Data Quality

  • 40+ years (1984-2024)
  • 8,000+ observations
  • Real-time API
  • Authoritative IFC data

💡 Use Cases

Financial Analysts

Portfolio risk assessment, regional comparison, sector analysis, country risk evaluation

Development Finance

Project evaluation, seniority analysis, infrastructure project finance, development bank lending

Research & Education

Emerging markets research, historical credit cycle analysis, risk modeling with real-world data

📈 Data Source

World Bank Data360 API - IFC_GEM (Global Emerging Markets Risk Database)

  • Authority: International Finance Corporation (IFC) - World Bank Group
  • Coverage: 40+ years of emerging market credit data (1984-2024)
  • Data Points: 8,000+ default and recovery observations
  • Access: Real-time API, no authentication required, publicly available
  • Privacy: Aggregated regional/sectoral statistics, no personal data

🔍 Understanding the Metrics

Default Rate (ADR)

Percentage of loans that default. Lower is better. Range: 0.5% - 5% for emerging markets.

Recovery Rate (ARR)

Percentage recovered when defaults occur. Higher is better. Range: 50% - 95% for emerging markets.

Expected Loss

Combined measure: Default Rate × (1 - Recovery Rate). Overall portfolio risk. Lower is better.

💬 Example Queries

Once connected, ask Claude natural questions like:

  • "What's the default rate in Latin America?"
  • "Compare sovereign vs corporate default risk in Sub-Saharan Africa"
  • "Show me the 10-year default rate trend for global emerging markets"
  • "What's the recovery rate for senior infrastructure debt in MENA?"
  • "Which region has the highest recovery rates for private sector lending?"
  • "Compare greenfield vs expansion projects for credit risk"

📖 Version Information

Version: 2.0
Tools: 9
Regions: 7
Sectors: 15
Data Sources: 3 (Sovereign, Public, Private)
Coverage: 6 of 11 indicators (54.5%)

What's New in v2.0