How to Use the World Bank Countries MCP in Claude Code

Q: How do I use World Bank Countries metadata with Claude Code?

You connect via claude mcp add and then call the tools directly in your terminal. For example, to list all countries: claude mcp call world-bank-countries listcountries.

Q: Can I use World Bank Countries for complex region analysis in Claude Code?

Yes. You can chain commands—first pull regions with searchregions, then filter those results by income using searchincomelevels. The output remains pipe-friendly.

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Connect World Bank Countries MCP to Claude Code

Create your Vinkius account to connect World Bank Countries to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup World Bank Countries with Claude Code

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List Countries with MCP Server

The `list_countries` tool gives you a clean stream of every World Bank country. You can pipe this output directly into other tools, allowing your shell script to ingest raw ISO codes immediately. Run the command: `claude mcp call world-bank-countries list_countries`. The resulting data streams right to stdout for further processing.

Search Income Levels in Claude Code

If you need to filter by economic status, use `search_income_levels`. This allows your script to specify HIC or LIC and get a targeted list of countries. You can build a robust cron job that checks only the World Bank countries classified as low income without needing complex local database lookups.

Identify Regions via MCP Server

The `search_regions` tool lists all geographic zones. This is great for scripting tasks where you need to process data grouped by continent or economic zone. You can write a bash function that pulls the region list and then iterates over each region, executing separate checks.

Setup guide

Set up World Bank Countries MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see world-bank-countries-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest World Bank Countries transactions." It will automatically discover and invoke the available World Bank Countries tools.

Terminal

claude mcp add --transport http world-bank-countries-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the World Bank Countries MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "world-bank-countries-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about World Bank Countries MCP in Claude Code

You connect via `claude mcp add` and then call the tools directly in your terminal. For example, to list all countries: `claude mcp call world-bank-countries list_countries`.

Yes. You can chain commands—first pull regions with `search_regions`, then filter those results by income using `search_income_levels`. The output remains pipe-friendly.

The server provides clean ISO codes that are ready to be piped into other scripts. This eliminates the need for manual data cleanup or mapping tables.

Absolutely. Since it supports standard HTTP transport, you can easily configure a step in your workflow to run the necessary commands against the server endpoint.

The server touches metadata like country ISO codes, region names, and income classifications. Since it's all public domain info, there are no user-specific data concerns.

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