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World Bank Data

This World Bank MCP server, developed by Anshuman Saxena, enables AI assistants to interact with the World Bank's open data API. Built in Python using the MCP framework, it provides tools for listing countries and indicators, as well as analyzing various socioeconomic metrics. The implementation stands out by offering a controlled interface for data exploration and analysis, making it safer and more structured for AI systems to access World Bank data. By connecting AI capabilities with a comprehensive global development database, this server allows for in-depth analysis of international economic trends, poverty statistics, and other key indicators. It is particularly useful for researchers, policymakers, and AI assistants working on global development projects, economic analysis, or cross-country comparisons.

Cognium trust score

65%

Tier

Scanned

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-02.

Scan details: Circle-IR · 2026-09-02 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: database
Source: PulseMCP
Repository: github.com/anshumax/world_bank_mcp_server
Author type: human
Last scanned: 2026-09-02
Updated: 2026-09-02

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MCP

Resolve World Bank Data from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"