Data source: World Bank, OECD, Eurostat, BLS
Overview
Economic Indicators searches across 4 data sources (World Bank, OECD, Eurostat, BLS) in a single query. It deduplicates and normalizes results, saving you from building 4 separate integrations. This tutorial walks through all 4 tools with working code examples.
Prerequisites
- Sign up at https://context.gnist.ai/signup for a free API key (100 calls/day).
- Choose your integration method: MCP protocol or REST API.
Connect via MCP
Add to your MCP client config (Claude Desktop, Cursor, etc.):
{
"mcpServers": {
"gnist-economic-indicators": {
"url": "https://context.gnist.ai/mcp/economic-indicators/",
"headers": {
"Gnist-API-Key": "YOUR_API_KEY"
}
}
}
}
Tools (4)
search_economic_indicators
Search for economic indicators across World Bank, OECD, Eurostat, and BLS. Returns matching indicators from all sources with their source-specific IDs. Use the returned source_id with get_economic_data to fetch time series data. Examples: search_economic_indicators(query="GDP growth") search_economic_indicators(query="unemployment rate", limit=5) search_economic_indicators(query="consumer price index")
| Parameter | Type | Required | Description |
|---|---|---|---|
query | string | required | Search query — topic, indicator name, or keyword (e.g. 'GDP growth', 'unemployment rate', 'inflation'). |
limit | integer | optional | Maximum results per source. (default: 10) |
curl -X POST "https://context.gnist.ai/mcp/economic-indicators/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "search_economic_indicators", "arguments": {"query": "'GDP"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/economic-indicators/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'query': "'GDP"},
'name': 'search_economic_indicators'}},
)
print(resp.json())
get_economic_data
Fetch time series data for an economic indicator from one or all sources. First use search_economic_indicators to find indicator IDs, then use this tool to fetch the actual data. Specify a source for targeted queries or omit it to query all sources in parallel. Examples: get_economic_data(indicator="NY.GDP.MKTP.CD", country="NOR", source="worldbank") get_economic_data(indicator="nama_10_gdp", country="DE", source="eurostat", year_from=2015) get_economic_data(indicator="LNS14000000", country="US", source="bls")
| Parameter | Type | Required | Description |
|---|---|---|---|
indicator | string | required | Indicator ID from a source (e.g. 'NY.GDP.MKTP.CD' for World Bank GDP). |
country | string | required | ISO country code (e.g. 'USA', 'NOR', 'DEU', 'GBR'). |
source | any | optional | Source name: worldbank, oecd, eurostat, or bls. Omit to try all. |
year_from | any | optional | Start year (e.g. 2010). |
year_to | any | optional | End year (e.g. 2024). |
curl -X POST "https://context.gnist.ai/mcp/economic-indicators/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "get_economic_data", "arguments": {"indicator": "'NY.GDP.MKTP.CD'", "country": "'USA'"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/economic-indicators/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'country': "'USA'", 'indicator': "'NY.GDP.MKTP.CD'"},
'name': 'get_economic_data'}},
)
print(resp.json())
list_economic_sources
List all registered economic data sources and their coverage. Shows available sources (World Bank, OECD, Eurostat, BLS) with geographic coverage and status information. Examples: list_economic_sources()
curl -X POST "https://context.gnist.ai/mcp/economic-indicators/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "list_economic_sources", "arguments": {}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/economic-indicators/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {}, 'name': 'list_economic_sources'}},
)
print(resp.json())
report_feedback
Report a bug, feature request, or general feedback for this data source. Use this when something doesn't work as expected, when you'd like a new feature, or when you have suggestions for improvement. Args: feedback: Describe the issue or suggestion. feedback_type: One of 'bug', 'feature_request', or 'general'.
| Parameter | Type | Required | Description |
|---|---|---|---|
feedback | string | required | |
feedback_type | string | optional | (default: general) |
curl -X POST "https://context.gnist.ai/mcp/economic-indicators/" \
-H "Content-Type: application/json" \
-H "Gnist-API-Key: YOUR_API_KEY" \
-d '{"jsonrpc": "2.0", "method": "tools/call", "id": 1, "params": {"name": "report_feedback", "arguments": {"feedback": "example"}}}'
import httpx
resp = httpx.post(
"https://context.gnist.ai/mcp/economic-indicators/",
headers={"Gnist-API-Key": "YOUR_API_KEY"},
json={'id': 1,
'jsonrpc': '2.0',
'method': 'tools/call',
'params': {'arguments': {'feedback': 'example'}, 'name': 'report_feedback'}},
)
print(resp.json())
Common Patterns
Use
search_economic_indicators to find items, then get_economic_data to get full details. This two-step pattern is common for exploring data before drilling down.Several tools support
limit, offset, or page parameters. Start with small limits during development, then increase for production queries.FAQ
What data does Economic Indicators provide?
Economic indicators — unified access to World Bank development data, OECD statistics, Eurostat European data, and BLS labor statistics. It exposes 4 tools: search_economic_indicators, get_economic_data, list_economic_sources, report_feedback.
What do I need to get started?
A Gnist API key (free tier: 100 calls/day). Sign up at https://context.gnist.ai/signup.
What format does the Economic Indicators API return?
JSON, via either MCP protocol (JSON-RPC 2.0) or REST API.
Which data sources does Economic Indicators aggregate?
World Bank, OECD, Eurostat, BLS. Results are deduplicated and normalized into a consistent format.