World Bank Indicators MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| find_countriesA | Find World Bank country codes by name, region, or income level. |
| get_indicator_metadataA | Get definition, source, and topics for an exact World Bank indicator code. |
| get_indicator_dataB | Get a paginated annual indicator time series for up to 20 countries and a bounded year range. |
| compare_countriesA | Compare latest non-empty value for one indicator across 2 to 20 countries. |
| get_country_profileB | Get country metadata plus latest GDP, growth, population, inflation, and unemployment values. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 5 tools
Each tool has a broadly distinct purpose: metadata lookup, country lookup, time-series data, cross-country comparison, and country profile. get_indicator_data and compare_countries overlap somewhat since both return indicator values, but the former is explicitly a bounded time series while the latter is a latest-value comparison.
All tool names follow a consistent verb_noun snake_case pattern: get_, find_, and compare_ prefixes with clear objects. There are no mixed conventions or vague verbs.
Five tools is a well-scoped size for a World Bank indicators server. Each tool covers a clear need without redundancy or bloat.
The core workflows of finding countries, retrieving indicator metadata, fetching time series, comparing countries, and getting a profile are covered. The main gap is that there is no way to search or discover indicators by keyword, topic, or text; only exact indicator codes are supported.