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Worldmonitor

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koala73

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

Publisherkoala73
Repositoryworldmonitor
LanguageTypeScript
Forks
13.5K
Stars
88.3K
Available tools
0
Transport typestdio
LicenseAGPL-3.0
Links
  • Connect tools to AI workflows

    Worldmonitor exposes MCP capabilities that can be used by compatible AI clients and agents.

  • 0 available tools

    Browse the callable actions below, including names and descriptions when provided by the server.

  • Ready-to-copy setup

    Use the installation snippets to configure this server in your preferred MCP client.

  • Open source signals

    88.3K stars and 13.5K forks from the linked repository.

World Monitor

简体中文 | 日本語 | Русский

Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface.

GitHub stars License: AGPL v3 TypeScript Last commit Latest release npm: worldmonitor skills.sh

World Monitor Dashboard


What It Does

  • Curated news feeds across global and regional categories, AI-synthesized into briefs
  • Dual map engine — 3D globe (globe.gl) and WebGL flat map (deck.gl) with a shared map-layer catalog
  • Panel inventory — concrete panel implementations across specialized variants
  • Cross-stream correlation — military, economic, disaster, and escalation signal convergence
  • Country Instability Index (CII) — live CII v8 scores, bands, and approximate 24-hour movement for 31 Tier-1 countries
  • Finance radar — stock exchanges, commodities, crypto, and a market composite
  • Local AI — run everything with Ollama, no API keys required
  • Site variants from a single codebase (world, tech, finance, commodity, happy, energy)
  • Native desktop app (Tauri 2) for macOS, Windows, and Linux
  • Multilingual UI with native-language feeds and RTL support

For the full feature list, architecture, data sources, and algorithms, see the documentation.


Support Status

All site variants and desktop binaries are built from a single codebase and ship from the same release process. The table below clarifies maintenance status so you know which surfaces are safe to depend on.

SurfaceStatusNotes
worldmonitor.app, tech., finance., commodity., happy., energy.StablePublic deployments built from this repo, actively maintained
Desktop binaries (Windows / macOS Apple Silicon / macOS Intel / Linux AppImage)StableOne Tauri binary for every variant — install World Monitor and switch to tech, finance, commodity, energy, or happy in-app. There is deliberately no per-variant download

Issues filed against any of the above are triaged from the same backlog — see the issues board for currently-open work.


Quick Start

bash
git clone https://github.com/koala73/worldmonitor.git
cd worldmonitor
npm install
npm run dev

Open localhost:3000 (override the port with DEV_PORT in .env.local). The app runs with no environment variables.

Feature-specific data sources may require credentials. See .env.example for the full list.

For variant-specific development:

bash
npm run dev:tech       # tech.worldmonitor.app
npm run dev:finance    # finance.worldmonitor.app
npm run dev:commodity  # commodity.worldmonitor.app
npm run dev:happy      # happy.worldmonitor.app
npm run dev:energy     # energy.worldmonitor.app

See the self-hosting guide for deployment options (Vercel, Docker, static).


Tech Stack

CategoryTechnologies
FrontendVanilla TypeScript, Vite, globe.gl + Three.js, deck.gl + MapLibre GL
DesktopTauri 2 (Rust) with Node.js sidecar
AI/MLOllama / OpenRouter, Transformers.js (browser-side)
API ContractsProtocol Buffers and sebuf HTTP annotations
DeploymentVercel Edge Functions, Railway relay, Tauri, PWA
CachingRedis (Upstash), 3-tier cache, CDN, service worker

Full stack details in the architecture docs.


Programmatic Access

World Monitor is built for agents and scripts as well as browsers:

  • MCP server — https://worldmonitor.app/mcp (Streamable HTTP). Public tools/list; tools/call authenticates with a X-WorldMonitor-Key header or OAuth. The server also publishes its Agent Skills through the draft io.modelcontextprotocol/skills extension (skills/list, skills/get, and skill://… resource reads).

  • REST API — base https://api.worldmonitor.app, described by the OpenAPI spec.

  • CLI — the official worldmonitor npm package (source in cli/):

    sh
    npx worldmonitor tools          # run ad-hoc — list every MCP tool (no key needed)
    npm install -g worldmonitor     # or install the `worldmonitor` (alias `wm`) command
    worldmonitor risk IR --api-key wm_xxx
  • SDKs — official zero-dependency client libraries mirroring the CLI: Python worldmonitor-sdk (source in sdk/python/), Ruby worldmonitor (sdk/ruby/), Go github.com/koala73/worldmonitor/sdk/go (sdk/go/). Guide: worldmonitor.app/docs/sdks.

Agent discovery files: llms.txt · agent-skills manifest · api-catalog. Get an API key at worldmonitor.app/pro.


Flight Data

Flight data provided graciously by Wingbits, the most advanced ADS-B flight data solution.


Data Sources

WorldMonitor aggregates attributed upstream sources across geopolitics, finance, energy, climate, aviation, cyber, military, infrastructure, and news intelligence. Curated feeds and freshness-tracked source groups are published in the full data sources catalog, with provider, feed-tier, license-posture, and collection-method details.


Contributing

Contributions welcome! See CONTRIBUTING.md for guidelines.

bash
npm run typecheck        # Type checking
npm run build:full       # Production build

License

AGPL-3.0-only for the source code. Commercial use is permitted under the AGPL when you comply with its copyleft and source-availability terms.

Use CaseAllowed?
Personal / research / educationalYes, under AGPL-3.0-only
Self-hosted instanceYes, under AGPL-3.0-only
Fork and modifyYes, share source under AGPL-3.0-only when required
Commercial use / SaaSYes, under AGPL-3.0-only when you comply with AGPL obligations
Private-source proprietary use or official branding rightsSeparate commercial or trademark permission needed

See LICENSE for the full code license and docs/license.mdx for a plain-language summary. Commercial licensing is available as an alternative option for teams that need non-AGPL terms.

Copyright (C) 2024-2026 Elie Habib. All rights reserved.


Author

Elie Habib — GitHub

Contributors

Security Acknowledgments

We thank the following researchers for responsibly disclosing security issues:

  • Cody Richard — Disclosed three security findings covering IPC command exposure, renderer-to-sidecar trust boundary analysis, and fetch patch credential injection architecture (2026)

See our Security Policy for responsible disclosure guidelines.


Star History

Use Worldmonitor MCP with multiple AI models

TypingMind connects MCP tools at the workspace level, so once Worldmonitor is connected, you can use it with different AI models in TypingMind instead of setting it up separately for each model. This MCP runs locally through the TypingMind MCP connector on your device.

Setup guide to use the local connector

Use this when the MCP server needs access to local files, apps, or private resources on your computer.

1

Open the MCP settings

In TypingMind, go to Settings, Advanced Settings, then Model Context Protocol and choose Setup Connector.

  1. Open TypingMind in your browser.
  2. Click the Settings icon.
  3. Go to Advanced Settings.
  4. Open the Model Context Protocol section.
  5. Click Setup Connector and choose This Device.
TypingMind MCP connector setup screen with This Device selected
2

Run the connector command

Choose This Device, copy the command from TypingMind, and run it in Terminal. Keep the process running while you use MCP.

  1. Copy the setup command shown by TypingMind.
  2. Open Terminal on macOS or Windows Terminal on Windows.
  3. Paste and run the command.
  4. Approve the package install if Terminal asks you to proceed.
  5. Keep the Terminal window running while using MCP tools.
3

Add Worldmonitor as a server

When the connector status is Ready, click Edit Servers and paste the MCP server configuration.

  1. Wait until the connector status shows Ready.
  2. Click Edit Servers.
  3. Paste the Worldmonitor MCP server configuration.
  4. Save the server list.
  5. Refresh if you want to confirm the connector is still ready.
TypingMind MCP settings showing active server and Edit Servers button
{
  "mcpServers": {
    "worldmonitor": {
      "command": "npx",
      "args": [
        "-y",
        "<mcp-server-package>"
      ]
    }
  }
}
4

Use it across models

Save the server list, open Plugins, enable the Worldmonitor MCP tools, then select any supported AI model in TypingMind and use the tools in chat or assign them to an AI agent.

  1. Open the Plugins page in TypingMind.
  2. Enable the Worldmonitor MCP tools.
  3. Start a chat and choose the AI model you want to use.
  4. Use the MCP tools in chat or assign them to an AI agent.
  5. Switch to another AI model whenever needed without reconnecting MCP.
TypingMind chat using enabled MCP tools with a selected AI model
Can you use Worldmonitor to help me with this task?
Worldmonitor
Sure. I read it.
Here is what I found using Worldmonitor.

Frequently asked questions

What is the Worldmonitor MCP server used for?

Worldmonitor is an MCP server that lets compatible AI clients connect to external tools and context. In TypingMind, you can add this MCP server once and make its tools available in your AI workspace.

Can I use Worldmonitor MCP with multiple AI models in TypingMind?

Yes. TypingMind connects MCP tools at the workspace level, so you can use Worldmonitor with different AI models such as Claude, ChatGPT, Gemini, or other models you have configured in TypingMind without setting up the MCP server separately for each model.

Why use Worldmonitor MCP with TypingMind?

TypingMind is one of the best frontends for LLM chat because it brings multiple AI models, prompts, plugins, AI agents, API keys, and MCP tools into one workspace. With Worldmonitor connected, you can use its MCP tools across your preferred models while keeping your chat workflow organized in TypingMind.

How do I connect Worldmonitor MCP to TypingMind?

Worldmonitor runs through the TypingMind local MCP connector. This is best when the MCP server needs access to local files, desktop apps, command-line tools, or private resources on your computer.

What tools does Worldmonitor MCP provide in TypingMind?

Worldmonitor exposes MCP capabilities that can be enabled from the TypingMind Plugins page and used in chat or assigned to AI agents.

Do I need to share my API keys with TypingMind to use Worldmonitor MCP?

No. TypingMind is local-first and lets you keep your model providers, API keys, prompts, and MCP configuration under your control. If Worldmonitor requires authentication, add the required headers, OAuth settings, or local configuration for that MCP server when you create the connection.

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