Development Indicators MCP

Name: Development Indicators MCP
Author: lbruce-wq

by lbruce-wqversion 0.4.1i★ –iRuns in the cloud

Registry nameio.github.lbruce-wq/development-indicators

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://indicatorsmcp.impactengines.ai/mcp

Run this in your terminal

claude mcp add --transport http development-indicators https://indicatorsmcp.impactengines.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://indicatorsmcp.impactengines.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account lbruce-wq, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

More stars than 0% of the other 32531 servers in this category
Published to the registry more recently than 52% of the other 32531 servers in this category
Basic checks equal to or better than 100% of the other 32531 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Development Indicators MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.1) reached the registry 37 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Reelsaw

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Development Indicators MCP

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

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

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

py -3.11 -m venv .venv

.venv\Scripts\Activate.ps1 pip install -e ".[dev]" pytest development-data-mcp

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

Run the live-source smoke benchmark with:

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:

$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:

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

codex 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:

[mcp_servers.development-indicators]

url = "https://indicatorsmcp.impactengines.ai/mcp" startup_timeout_sec = 30 tool_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.

npm install

npm 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:

npx wrangler secret put FAOSTAT_USER

npx wrangler secret put FAOSTAT_PASSWORD npx wrangler secret put UN_POPULATION_TOKEN

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

Run with Docker

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

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.

Development Indicators MCP

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Reelsaw

README from the maker

Development Indicators MCP

Current milestone

MCP tools

Local development

Install in Codex

Cloudflare deployment

Run with Docker

Contributing

Architecture

Planned source sequence

Safety and statistical integrity

License