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, 22 sector categories (IFC + GICS + mixed), project types, debt seniority, and annual history back to 1984 (sovereign) / 1994 (public and private).

🔧 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 (13 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, globally or per region

Example: "Private sector default rate for infrastructure lending?"
6. get_project_type_analysis

Compare credit risk across project types

Example: "Compare project finance vs corporate finance"
7. get_time_series

Track default and recovery rates over time, optionally for one sector (sector history: global aggregate only)

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

Recovery rates by seniority (senior secured, senior unsecured, subordinated)

Example: "Senior secured vs unsecured recovery rates for private lending"
9. query_multidimensional

Combine region, sector, and project type filters

Example: "Default rate for project finance loans, private sector"
10. get_country_risk

Country profile with confidence interval, sectors and annual history

Example: "Credit risk of lending to Kenyan companies"
11. get_currency_analysis

Default and recovery rates by loan currency (foreign, local, pegged local, mixed)

Example: "Are local-currency loans riskier than foreign-currency loans?"
12. get_sovereign_benchmark

GEMs default rates vs S&P default rates of sovereigns with the same rating as the project's country

Example: "Do GEMs loans default less often than sovereign ratings imply?"
13. get_spreads_and_losses

Average total spread and loss rate of private lending by currency, project type and seniority

Example: "Spreads vs loss rates for project finance"

🌍 Coverage

Geographic Regions (7)

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

Sectors (22)

  • Banking
  • Infrastructure
  • Renewables
  • GICS: Energy
  • GICS: Utilities
  • + 17 more (IFC categories, GICS sectors, mixed)

Data Quality

  • Annual history from 1984 (sovereign) / 1994
  • Publication vintage 2025
  • 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: sovereign 1984–2025, public and private sector 1994–2025 (2025 publication)
  • Units: rates in percent; signed amounts in EUR millions as published by GEMs
  • 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 secured private sector debt?"
  • "Which region has the highest recovery rates for private sector lending?"
  • "Compare project finance vs corporate finance for credit risk"

📖 Version Information

Version: 1.3.0
Tools: 13
Areas: 7 regions, 4 income groups, 90 countries
Sectors: 22 (IFC + GICS + mixed)
Data Sources: 3 (Sovereign, Public, Private)

What's New in 1.3.0