Skip to content
Conduit

mcp server

cnbs-mcp-server

πŸ‡¨πŸ‡³ MCP server for accessing China National Bureau of Statistics (NBS) and global statistical data (World Bank, IMF, OECD, BIS) via Streamable HTTP transport.

Eliseowzy/cnbs-mcp-servercommunitylistedunreviewed

Set up

Runs on your computer. Pick your agent and operating system.

Before you start

  • Node.js 20 or newer
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "cnbs-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "cnbs-mcp-server"
      ]
    }
  }
}

same format Cursor, GitHub Copilot CLI, Junie, JetBrains AI Assistant, Augment (Auggie CLI), Factory Droid, Kiro, Devin CLI +12

Values in angle brackets are placeholders. Restart Claude Desktop after editing its config.Claude Desktop docs

README

synced Oct 23, 2026

Why this exists

Official statistics are easy to trust but hard for agents to use correctly. The newer NBS API uses UUID-based catalog and indicator IDs, the same business indicator may be split across time slices, and useful fields such as unit, region, period, and statistical notes are spread across multiple calls.

cnbs-mcp-server turns that friction into agent-friendly tools. It gives LLMs a guided path for search, latest values, historical series, regional comparison, macro snapshots, and international cross-checks across World Bank, IMF, OECD, BIS, census, and department statistics.

Capabilities

NeedTool familyWhat it helps with
Search China NBS indicatorscnbs_search, cnbs_batch_searchFind official indicators and latest values by keyword.
Fetch historical seriescnbs_fetch_series, cnbs_quick_queryResolve dataset and indicator IDs, then fetch time series.
Compare regions or periodscnbs_compareCompare a metric across provinces, cities, or years.
Get a macro snapshotcnbs_economic_snapshotPull GDP, CPI, PPI, PMI, unemployment, industry, trade, money supply, and more in one call.
Query international sourcesext_world_bank*, ext_imf*, ext_oecd*, ext_bis*Access global macro, finance, trade, employment, and forecast data.
Check China census and departmentsext_cn_census, ext_cn_department*Query census, fiscal, industry, agriculture, monetary, energy, housing, and other department statistics.
Cross-check sourcesext_global_compareCompare World Bank and IMF values for the same country/indicator idea.

Quick start

npm ci
npm run build
node dist/index.js --host 127.0.0.1 --port 12345

The stateless Streamable HTTP endpoint accepts POST / and POST /mcp. Set CNBS_MCP_SERVER_AUTH_TOKEN or pass --auth-token to require a Bearer token. Request bodies are limited to 1 MB.

MCP client configuration

Start the server first, then add it to any MCP client that supports Streamable HTTP:

{
  "mcpServers": {
    "cnbs": {
      "type": "streamable-http",
      "url": "http://127.0.0.1:12345/mcp"
    }
  }
}

If you enabled Bearer authentication, include the same token in the client configuration:

{
  "mcpServers": {
    "cnbs": {
      "type": "streamable-http",
      "url": "http://127.0.0.1:12345/mcp",
      "headers": {
        "Authorization": "Bearer your-token"
      }
    }
  }
}

Docker

Published Docker images are available from GitHub Container Registry for linux/amd64 and linux/arm64.

docker pull ghcr.io/eliseowzy/cnbs-mcp-server:1.1.0-beta.2

Run the published image:

docker run --rm \
  -p 12345:12345 \
  -e CNBS_MCP_SERVER_AUTH_TOKEN=your-token \
  -e LOG_LEVEL=info \
  -v "$PWD/logs:/app/logs" \
  ghcr.io/eliseowzy/cnbs-mcp-server:1.1.0-beta.2

The MCP endpoint is:

http://127.0.0.1:12345/mcp

To build and run from source with Docker Compose:

docker compose up --build

To use the published image with Compose, override the service image:

services:
  cnbs-mcp-server:
    image: ghcr.io/eliseowzy/cnbs-mcp-server:1.1.0-beta.2
    ports:
      - "12345:12345"
    restart: unless-stopped
    environment:
      CNBS_MCP_SERVER_AUTH_TOKEN: "${CNBS_MCP_SERVER_AUTH_TOKEN:-}"
      LOG_LEVEL: "${LOG_LEVEL:-info}"
      LOG_DIR: /app/logs
    volumes:
      - ./logs:/app/logs

Logs are emitted as structured JSON to stdout and daily rotating files under ./logs. Configure LOG_LEVEL and LOG_DIR as needed.

Design notes

This repository is also a map of how to build data tools for LLM agents:

If you want to understand...Read
How the service guides agents, normalizes noisy inputs, returns stable structured output, and handles semantic errorsdocs/plans/agent-friendly-design.md
How quick query compresses the NBS flow from search to indicator resolution to series fetchdocs/plans/quick-query-design.md
How caching uses LRU, TTL, in-flight request deduplication, stale-while-revalidate, and a cache hubdocs/plans/cache-module-design.md
How cache keys avoid collisions between metric, period, area, and external-source parametersdocs/plans/cache-key-design.md

Reading path: start with Quick start if you only want to run it; read the agent-friendly design if you want the core product thinking; read the cache docs if you are maintaining performance and upstream reliability.

Development

npm run lint
npm test
npm run build

Use the cnbs_get_guide tool for the complete tool catalog and query workflows. The same guide content is maintained in llms.txt for LLM-oriented usage.

↑↓ navigate openesc close