
Model Context Protocol (MCP) Server
The Model Context Protocol (MCP) Server bridges AI assistants with external data sources, APIs, and services, enabling streamlined integration of complex workfl...
Integrate World Bank open data into your AI flows for real-time global economic and social insights, automated reporting, and data-driven decisions.
The World Bank MCP Server is a Model Context Protocol (MCP) server that facilitates seamless interaction with the open World Bank data API. Designed to empower AI assistants and development workflows, it enables users to easily list available countries and indicators from the World Bank’s open data repository. The server also provides analytical capabilities for various indicators, such as population segments and poverty metrics, across supported countries. By integrating this MCP server, developers and AI systems can efficiently query global economic and social indicators, automate data retrieval and analysis, and include comprehensive logging for traceability. This enhances the ability of AI agents to access, analyze, and utilize real-world data for tasks such as reporting, research, and decision-making.
No explicit prompt templates are documented in the available repository files or README.
No explicit list of tools is documented in the available repository files or README. Details about server.py or individual tool implementations are not present.
No setup instructions for Windsurf are provided in the repository or documentation.
Ensure you have Node.js and the uv
package installed.
Locate your claude_desktop_config.json
configuration file.
Add the World Bank MCP Server under the mcpServers
object:
{
"mcpServers": {
"world_bank": {
"command": "uv",
"args": [
"--directory",
"path/to/world_bank_mcp_server",
"run",
"world_bank_mcp_server"
]
}
}
}
Save the configuration and restart Claude Desktop.
Verify the server is accessible via the MCP interface.
No setup instructions for Cursor are provided in the repository or documentation.
No setup instructions for Cline are provided in the repository or documentation.
No API key is required for the World Bank open data API as per the documentation. If needed, you would typically use environment variables like:
{
"env": {
"API_KEY": "${API_KEY}"
},
"inputs": {
"api_key": "${API_KEY}"
}
}
Using MCP in FlowHunt
To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:
Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:
{
"world_bank": {
"transport": "streamable_http",
"url": "https://yourmcpserver.example/pathtothemcp/url"
}
}
Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “world_bank” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.
Section | Availability | Details/Notes |
---|---|---|
Overview | ✅ | |
List of Prompts | ⛔ | No prompt templates documented |
List of Resources | ✅ | Countries, indicators, analysis |
List of Tools | ⛔ | No explicit tool list in available files |
Securing API Keys | ⛔ | Not required for World Bank open data |
Sampling Support (less important in evaluation) | ⛔ | Not documented |
The World Bank MCP Server provides valuable integration for global data analysis but lacks clear documentation for prompts, tools, and setup for some platforms. The open nature of the World Bank API simplifies access. However, the absence of detailed prompt and tool definitions limits extensibility. Overall, it is a specialized but somewhat basic MCP implementation.
Has a LICENSE | ⛔ |
---|---|
Has at least one tool | ⛔ |
Number of Forks | 6 |
Number of Stars | 24 |
The World Bank MCP Server is a Model Context Protocol server that allows AI agents and workflows to interact with the official World Bank open data API. It provides resources for listing countries, indicators, and performing indicator analysis, enabling automated, real-time access to global economic and social data.
It provides endpoints for listing available countries, listing all indicators, and analyzing specific indicators (like population and poverty metrics) for supported countries.
No API key is required to access the World Bank open data API through this MCP server.
Typical use cases include global data analysis, automated economic reporting, academic research, data-driven organizational decisions, and compliance logging.
Add the MCP component to your flow, open its configuration, and insert your MCP server details (such as transport and URL). Once set up, your AI agents can access all the server’s capabilities inside your flows.
Empower your AI agents and workflows with authoritative global data. Start analyzing World Bank indicators in your flows today.
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