Development Indicators MCP

io.github.lbruce-wqv0.4.1更新于 Oct 1, 2026

Open-source MCP for official development indicators with provenance and citations.

已验证Streamable HTTP可网页运行Data & AnalyticsKnowledge & Memory

概览

AI 生成的概览

让助手检索世界银行、世卫组织、联合国儿童基金会和 FAOSTAT 等机构的官方国际发展指标，并保留单位与引用出处。

功能
这是一个以出处为先的国际发展统计网关。工具包括 list_sources、search_indicators、get_indicator_metadata、get_observations、compare_observations、find_microdata、FAOSTAT 领域与维度发现，以及 resolve_geographies。序列以 source_id:series_code 形式引用，观测值以统一封装返回，保留原始来源代码、单位、标记和引用。国家代码混合批次会同时返回已解析和未解析条目，而不是整体失败。
适用场景
当助手需要权威、可引用的发展或社会经济数据而非无出处的叙述时使用，例如跨国或跨年份比较某一序列，或查询指标定义与元数据。该项目是公开测试版，用于评估，并非生产级统计服务。
运行要求
托管端点通过 Streamable HTTP 远程访问，声明无需认证、环境变量或请求头。自行运行需要 Python 3.11 与 pip，或 Docker，或使用经 Wrangler 认证的账户部署 Cloudflare Worker。可选的服务商凭据包括 FAOSTAT_USER、FAOSTAT_PASSWORD 和 UN_POPULATION_TOKEN；联合国人口观测端点需要门户签发的 bearer token。
安装前请注意
托管实例仅供评估，项目说明生产部署必须在应用或网关层添加 HTTPS、认证、限流和审计日志。FAOSTAT_USER、FAOSTAT_PASSWORD、UN_POPULATION_TOKEN 等可选服务商密钥应以密钥方式提供，不要提交到仓库。微数据目录发现不代表有权下载受限文件，结果较大时应导出，而不是直接放入模型上下文。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Development Indicators MCP，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "development-indicators": {
      "type": "http",
      "url": "https://indicatorsmcp.impactengines.ai/mcp"
    }
  }
}

README

Development Indicators MCP

A provenance-first Model Context Protocol gateway for official international-development indicators.

Hosted MCP endpoint: https://indicatorsmcp.impactengines.ai/mcp

[CI] [License: MIT]

The project aims to let AI agents discover and query authoritative indicators across institutions such as the World Bank, UN agencies, FAO, WHO, UNICEF, ILO and the DHS Program through one consistent interface. It preserves definitions, units, dimensions, source codes and citations rather than returning uncited prose.

Current milestone

The repository contains a working vertical slice:

  • remote-capable MCP server using Streamable HTTP, with stdio support for local clients;
  • source registry describing APIs, authentication and capabilities;
  • normalized indicator and observation schemas;
  • live World Bank, WHO GHO, UNICEF, FAOSTAT, ILOSTAT, IMF, UNSD SDG, UNESCO UIS, OECD and ADB adapters;
  • on-demand FAOSTAT authentication with no background token refresh;
  • dynamic FAOSTAT domain, country, item and element discovery;
  • weighted live catalogue search with aliases, match explanations, retrieval-health signals, bounded provider waits and a 15-minute query cache;
  • partial-failure comparisons, typed errors, native structured outputs and compact responses;
  • partial-success geography resolution with structured unresolved-country errors;
  • normalized ILOSTAT frequency labels and FAOSTAT dimension-ranking evidence;
  • tools to resolve country names, inspect metadata and retrieve observations;
  • unit tests for normalization and source behaviour.

This is a public beta, not a production statistical service. The hosted instance is provided for evaluation; you can also run or deploy your own copy.

MCP tools

  • list_sources(topic=None)
  • get_source_setup(source_id)
  • search_indicators(query, source_ids=None, limit=10)
  • get_indicator_metadata(series_ref)
  • get_observations(series_ref, country_codes, start_year=None, end_year=None, latest_only=False, include_original=False)
  • compare_observations(series_refs, country_codes, ...)
  • find_microdata(query, country=None)
  • faostat_list_domains(limit=50, cursor=0, group_code=None, status=None, include_archived=False)
  • faostat_search_dimension(dataset, dimension, query, limit=20, cursor=0)
  • resolve_geographies(names_or_codes)

Series references use the form source_id:series_code, for example world_bank:SP.POP.TOTL. Observation calls accept ISO 3166-1 alpha-3 codes such as GHA and KEN; use resolve_geographies when a prompt supplies country names. Mixed batches return both resolved and unresolved entries instead of failing the entire request.

Local development

powershell
py -3.11 -m venv .venv.venv\Scripts\Activate.ps1pip install -e ".[dev]"pytestdevelopment-data-mcp

For macOS or Linux, activate the environment with source .venv/bin/activate.

Run the live-source smoke benchmark with:

powershell
python -m benchmarks.run

The FAOSTAT check is skipped until FAOSTAT_USER and FAOSTAT_PASSWORD are configured; all public-source checks run without credentials.

The default transport is stdio. To run a hosted-style HTTP endpoint:

powershell
$env:MCP_TRANSPORT = "streamable-http"$env:MCP_HOST = "127.0.0.1"$env:MCP_PORT = "8000"development-data-mcp

The MCP endpoint is then exposed at /mcp. Production deployment must add HTTPS, authentication, rate limiting and audit logging at the application or gateway layer.

Install in Codex

The hosted service uses Streamable HTTP:

powershell
codex mcp add development-indicators --url https://indicatorsmcp.impactengines.ai/mcpcodex mcp list

Restart Codex after adding it, then use /mcp to confirm the server and its tools are available. The same MCP configuration is shared by the Codex CLI, IDE extension and ChatGPT desktop app on the same Codex host.

Equivalent ~/.codex/config.toml configuration:

toml
[mcp_servers.development-indicators]url = "https://indicatorsmcp.impactengines.ai/mcp"startup_timeout_sec = 30tool_timeout_sec = 180

Example test prompt: Using Development Indicators, find an official maize production series from FAOSTAT and retrieve 2020–2023 observations for Uganda and Kenya, preserving units, flags and citations.

Cloudflare deployment

The repository includes a Cloudflare Worker and Container configuration. It routes public HTTPS requests to the same tested Python image; the MCP endpoint remains /mcp. A production deployment should initially use its isolated workers.dev hostname, then attach a custom domain after client verification.

powershell
npm installnpm run deploy

To deploy under a different Worker name or hostname, edit name and routes in wrangler.jsonc. Remove the routes block if you only want a workers.dev endpoint. Authenticate Wrangler with your own Cloudflare account before running the deploy command; the repository contains no Impact Engines credentials.

Optional provider credentials can be added to your Worker without committing them:

powershell
npx wrangler secret put FAOSTAT_USERnpx wrangler secret put FAOSTAT_PASSWORDnpx wrangler secret put UN_POPULATION_TOKEN

See docs/deployment.md for the deployment architecture, verification checklist and non-Cloudflare Docker instructions.

Run with Docker

bash
docker build -t development-data-mcp .docker run --rm -p 8000:8000 \  -e MCP_TRANSPORT=streamable-http \  -e MCP_HOST=0.0.0.0 \  -e MCP_PORT=8000 \  development-data-mcp

The endpoint will be available at http://localhost:8000/mcp. Put it behind HTTPS and suitable access controls before exposing it to the public internet.

Contributing

Issues and pull requests are welcome. Please run ruff check ., pytest, and npm run typecheck before submitting a change. See CONTRIBUTING.md for the full development workflow and SECURITY.md for private vulnerability reporting guidance.

Cloudflare Containers require a Workers paid plan. FAOSTAT credentials, when configured, must be stored with Wrangler secrets rather than committed.

Architecture

text
AI client   |Remote MCP gateway   |Metadata registry and source router   |Provider adapters (REST / SDMX / OData / specialist)   |Official publisher APIs

Only metadata and modest request caches should be stored locally at first. Observations are retrieved from official sources and returned in a common envelope while preserving the original source identifiers.

Planned source sequence

Active observation connectors: World Bank Indicators, WHO GHO, UNICEF SDMX, FAOSTAT, ILOSTAT, IMF DataMapper, UNSD SDG, UNESCO UIS, OECD SDMX and ADB SDMX. UN Population indicator discovery is active; its observation endpoint requires a portal-issued bearer token. DHS, MICS, IPUMS and World Bank Microdata Library remain catalogue-discovery integrations rather than observation APIs.

Safety and statistical integrity

  • Values are never invented or inferred by the MCP.
  • Similar indicators are not silently merged.
  • Provider codes and canonical URLs are retained.
  • Observed, survey-estimated, modelled and projected values must be labelled when metadata permits.
  • Microdata catalogue discovery does not imply permission to download restricted files.
  • Large results should be exported rather than placed directly in model context.

License

The software is released under the MIT License. Upstream data remain subject to each publisher's terms, licences and attribution requirements.

来源：README.md，提交 9cffb22

工具

0
工具元数据尚未被收录。

版本历史

1
  1. v0.4.1最新Oct 1, 2026