A
licenseA
qualityB
maintenanceA Model Context Protocol (MCP) server that gives AI assistants direct access to the World Health Organization's Global Health Observatory (GHO) for comparative health systems research.
15
MIT
OECD-Search
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@OECD-Search search for inflation data in OECD countries"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
OECD数据查询服务 OECD Search
一个通过SDMX API提供OECD全面统计数据的模型上下文协议（MCP）服务器，支持AI助手和聊天机器人查询经济、健康、教育、环境等OECD数据集。 A model Context Protocol (MCP) server that provides comprehensive OECD statistics through the SDMX API, supporting AI assistants and chatbots to query OECD datasets in areas such as economy, health, education, and environment.## 工具列表 Tool List
本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。 本MCP服务封装下列工具，可让模型通过标准化接口调用以下功能。
工具 Tool | 描述 Description |
search_dataflows | Search for OECD datasets (dataflows) by keyword. Returns matching datasets with their IDs, names, and descriptions. |
list_dataflows | List available OECD dataflows (datasets), optionally filtered by category. Use this to browse datasets by topic area. |
get_data_structure | Get the metadata and structure of a specific OECD dataset. Returns dimensions, attributes, and valid values for querying data. |
query_data | Query actual statistical data from an OECD dataset. ⚠️ IMPORTANT: Defaults to last 100 observations (max 1000) to protect context window. Use filters, time periods, or last_n_observations to control data size. Large datasets (e.g. SOCX_AGG) can have 70,000+ observations - always specify limits! |
get_categories | Get all available OECD data categories (17 categories covering all topics: Economy, Health, Education, Environment, etc.) |
get_popular_datasets | Get a curated list of commonly used OECD datasets across all categories. |
search_indicators | Search for specific economic or social indicators by keyword (e.g., "inflation", "unemployment", "GDP"). |
get_dataflow_url | Generate an OECD Data Explorer URL for a dataset. Use this to provide users with a direct link to explore data visually in their browser. |
list_categories_detailed | Get all OECD data categories with example datasets for each category. Returns comprehensive information about all 17 categories. |
检查服务 ## Inspector
工具在线测试： https://mcp.xiaobenyang.com/inspector/1777316659351555
Online Tool test https://mcp.xiaobenyang.com/inspector/1777316659351555
Related MCP server: unesco-mcp
服务配置 MCP Server Config
如何获取 XBY-APIKEY ？ How to get XBY-APIKEY ?
访问小笨羊科技网站 https://xiaobenyang.com，注册用户即可获得APIKEY Visit XiaoBenYang website https://xiaobenyang.com, register and get the APIKEY.
SSE
{
"mcpServers": {
"OECD数据查询服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "sse",
"url": "https://mcp.xiaobenyang.com/1777316659351555/sse"
}
}
}STREAMABLE HTTP
{
"mcpServers": {
"OECD数据查询服务": {
"headers": {
"XBY-APIKEY": "<YOUR_XBY_APIKEY>"
},
"type": "streamable_http",
"url": "https://mcp.xiaobenyang.com/1777316659351555/mcp"
}
}
}STDIO
{
"mcpServers": {
"OECD数据查询服务": {
"command": "npx",
"args": [
"-y",
"xiaobenyang-mcp"
],
"env": {
"XBY_APIKEY": "<YOUR_XBY_APIKEY>",
"mcpId": "1777316659351555",
},
"transport": "stdio"
}
}
}
Available Tools
9 toolsget_categoriesget_categoriesA
Get all available OECD data categories (17 categories covering all topics: Economy, Health, Education, Environment, etc.)
Inputs: no named parameters.
get_dataflow_urlget_dataflow_urlA
Generate an OECD Data Explorer URL for a dataset. Use this to provide users with a direct link to explore data visually in their browser.
Inputs: dataflow_id (required), filter.
get_data_structureget_data_structureB
Get the metadata and structure of a specific OECD dataset. Returns dimensions, attributes, and valid values for querying data.
Inputs: dataflow_id (required).
get_popular_datasetsget_popular_datasetsB
Get a curated list of commonly used OECD datasets across all categories.
Inputs: no named parameters.
list_categories_detailedlist_categories_detailedB
Get all OECD data categories with example datasets for each category. Returns comprehensive information about all 17 categories.
Inputs: no named parameters.
list_dataflowslist_dataflowsC
List available OECD dataflows (datasets), optionally filtered by category. Use this to browse datasets by topic area.
Inputs: category, limit.
query_dataquery_dataA
Query actual statistical data from an OECD dataset. ⚠️ IMPORTANT: Defaults to last 100 observations (max 1000) to protect context window. Use filters, time periods, or last_n_observations to control data size. Large datasets (e.g. SOCX_AGG) can have 70,000+ observations - always specify limits!
Inputs: dataflow_id (required), filter, start_period, end_period, +1 more.
search_dataflowssearch_dataflowsC
Search for OECD datasets (dataflows) by keyword. Returns matching datasets with their IDs, names, and descriptions.
Inputs: query (required), limit.
search_indicatorssearch_indicatorsC
Search for specific economic or social indicators by keyword (e.g., "inflation", "unemployment", "GDP").
Inputs: indicator (required), category.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
TDQS
B3.4/5.0
Scored across 9 tools
Disambiguation4/5
Most tools have distinct purposes, such as get_categories for category lists, query_data for data retrieval, and search_dataflows for dataset searches. However, get_categories and list_categories_detailed overlap significantly in purpose, both retrieving categories with only minor differences in detail level, which could cause confusion in selection.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern using snake_case, such as get_categories, query_data, and search_indicators. This uniformity makes the tool set predictable and easy to navigate, with no deviations in naming conventions.
Tool Count5/5
With 9 tools, the server is well-scoped for OECD data exploration, covering browsing, searching, querying, and metadata retrieval. Each tool serves a clear function, and the count aligns with typical server sizes, avoiding bloat or insufficiency.
Completeness4/5
The tool set provides comprehensive coverage for data discovery and access, including category listing, dataset browsing, searching, and data querying. A minor gap exists in update or management operations, but this is reasonable for a read-only data search server, and agents can work effectively with the available tools.
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