World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
HAL (HTTP API Layer) - An MCP server that provides HTTP API capabilities to Large Language Models
Pick the AI app you use, then copy the settings.
Passed 2/3 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
SettingsDeveloperEdit Config
{
"mcpServers": {
"hal": {
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}Use HAL and tell me what you can do for me, then show me one thing✓ If Claude says it is using HAL or shows a HAL tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect HAL yet
HAL runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect HAL
B · Others in Other that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user hal -- npx -y hal-mcpYou should see HAL listed as connected
Use HAL and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using HAL or shows a HAL tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use HAL and tell me what you can do for me, then show me one thing✓ If Cursor says it is using HAL or shows a HAL tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Use HAL and tell me what you can do for me, then show me one thing✓ If VS Code says it is using HAL or shows a HAL tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user hal -- npx -y hal-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"hal": {
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"hal": {
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"hal": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 12, 2026
The registry name was verified with the GitHub account DeanWard, which owns the repo
No code changes for over a year, or the repo is archived
Uses MIT
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 13 months ago, and the latest version (1.0.14) reached the registry 14 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: World Monitor, Claude Flow, Windmill
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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.
HAL is a Model Context Protocol (MCP) server that provides HTTP API capabilities to Large Language Models. It allows LLMs to make HTTP requests and interact with web APIs through a secure, controlled interface. HAL can also automatically generate tools from OpenAPI/Swagger specifications for seamless API integration.
[Complete Documentation →](https://deanward.github.io/HAL/documentation/)
Visit our comprehensive documentation site for detailed guides, examples, and API reference.
{secrets.key} substitution and automatic redactionHAL is designed to work with MCP-compatible clients. Here are some examples:
Add HAL to your Claude Desktop configuration (npx will automatically install and run HAL):
{
"mcpServers": { "hal": { "command": "npx", "args": ["hal-mcp"] } } }
To enable automatic tool generation from an OpenAPI specification and use secrets:
{
"mcpServers": { "hal": { "command": "npx", "args": ["hal-mcp"], "env": { "HAL_SWAGGER_FILE": "/path/to/your/openapi.json", "HAL_API_BASE_URL": "https://api.example.com", "HAL_SECRET_API_KEY": "your-secret-api-key", "HAL_SECRET_USERNAME": "your-username", "HAL_SECRET_PASSWORD": "your-password" } } } }
You can also load OpenAPI specs directly from URLs:
{
"mcpServers": { "hal": { "command": "npx", "args": ["hal-mcp"], "env": { "HAL_SWAGGER_FILE": "/swagger/v1/swagger.json", "HAL_API_BASE_URL": "http://localhost:5065", "HAL_SECRET_API_KEY": "your-secret-api-key" } } } }
# Start the HAL server with default tools
npx hal-mcp
HAL_SWAGGER_FILE=/path/to/api.yaml HAL_API_BASE_URL=https://api.example.com npx hal-mcp
HAL_SWAGGER_FILE=/swagger/v1/swagger.json HAL_API_BASE_URL=http://localhost:5065 npx hal-mcp
HAL supports the following environment variables:
HAL_SWAGGER_FILE: Path or URL to OpenAPI/Swagger specification file (JSON or YAML format). Can be:/path/to/api.yamlhttps://api.example.com/swagger.json/swagger/v1/swagger.json (combined with HAL_API_BASE_URL)HAL_API_BASE_URL: Base URL for API requests (overrides the servers specified in the OpenAPI spec)HAL_SECRET_*: Secret values for secure substitution in requests (e.g., HAL_SECRET_TOKEN=abc123)HAL_ALLOW_*: URL restrictions for namespaced secrets (e.g., HAL_ALLOW_MICROSOFT="https://azure.microsoft.com/*")HAL_WHITELIST_URLS: Comma-separated list of URL patterns that are allowed (if set, only these URLs are permitted)HAL_BLACKLIST_URLS: Comma-separated list of URL patterns that are blocked (if set, these URLs are denied)HAL provides secure secret management to keep sensitive information like API keys, tokens, and passwords out of the conversation while still allowing the AI to use them in HTTP requests.
HAL_SECRET_ prefix: HAL_SECRET_API_KEY=your-secret-api-key
HAL_SECRET_TOKEN=your-auth-token HAL_SECRET_USERNAME=your-username
{secrets.key} syntax:https://api.example.com/data?token={secrets.token}{"Authorization": "Bearer {secrets.api_key}"}{"username": "{secrets.username}", "password": "{secrets.password}"}HAL automatically redacts secret values from all responses sent back to the AI, providing an additional layer of security against credential exposure.
[REDACTED] before sending to the AIBefore (vulnerable):
Error: Request cannot be constructed from a URL that includes credentials:
https://65GQiI8-1JCOWV1KAuYr0g:-VOIfpydl2GWfucCdEJ1BJ2vrsJyjQ@www.reddit.com/api/v1/access_token
After (secure):
Error: Request cannot be constructed from a URL that includes credentials:
https://[REDACTED]:[REDACTED]@www.reddit.com/api/v1/access_token
This protection is automatic and requires no configuration - HAL will redact any secret values regardless of how they appear in responses, ensuring that even if an API or error message attempts to expose credentials, the AI never sees the actual values.
HAL supports organizing secrets into namespaces and restricting them to specific URLs for enhanced security:
Use - for namespace separators and _ for word separators within keys:
# Single namespace
HAL_SECRET_MICROSOFT_API_KEY=your-api-key
HAL_SECRET_AZURE-STORAGE_ACCESS_KEY=your-storage-key HAL_SECRET_AZURE-COGNITIVE_API_KEY=your-cognitive-key HAL_SECRET_GOOGLE-CLOUD-STORAGE_SERVICE_ACCOUNT_KEY=your-service-key
Restrict namespaced secrets to specific URLs using HAL_ALLOW_* environment variables:
# Restrict Microsoft secrets to Microsoft domains
HAL_SECRET_MICROSOFT_API_KEY=your-api-key HAL_ALLOW_MICROSOFT="https://azure.microsoft.com/*,https://*.microsoft.com/*"
HAL_SECRET_AZURE-STORAGE_ACCESS_KEY=your-storage-key HAL_ALLOW_AZURE-STORAGE="https://*.blob.core.windows.net/*,https://*.queue.core.windows.net/*"
HAL_SECRET_GOOGLE-CLOUD_API_KEY=your-google-key HAL_ALLOW_GOOGLE-CLOUD="https://*.googleapis.com/*,https://*.googlecloud.com/*"
Understanding how environment variable names become template keys:
HAL_SECRET_AZURE-STORAGE_ACCESS_KEY
│ │ │ │ │ └─ Key: "ACCESS_KEY" → "access_key" │ └─ Namespace: "AZURE-STORAGE" → "azure.storage" └─ Prefix
Final template: {secrets.azure.storage.access_key}
Step-by-step breakdown:
HAL_SECRET_ prefix → AZURE-STORAGE_ACCESS_KEY_ → Namespace: AZURE-STORAGE, Key: ACCESS_KEYAZURE-STORAGE → azure.storage (dashes become dots, lowercase)ACCESS_KEY → access_key (underscores stay, lowercase){secrets.azure.storage.access_key}# Simple namespace
HAL_SECRET_GITHUB_TOKEN=your_token → {secrets.github.token}
HAL_SECRET_AZURE-COGNITIVE_API_KEY=your_key → {secrets.azure.cognitive.api_key}
HAL_SECRET_GOOGLE-CLOUD-STORAGE_SERVICE_ACCOUNT=your_account → {secrets.google.cloud.storage.service_account}
HAL_SECRET_AWS-S3_BUCKET_ACCESS_KEY_ID=your_id → {secrets.aws.s3.bucket_access_key_id}
HAL_SECRET_API_KEY=your_key → {secrets.api_key}
Environment Variable Template Usage URL Restriction
├─ HAL_SECRET_MICROSOFT_API_KEY ├─ {secrets.microsoft.api_key} ├─ HAL_ALLOW_MICROSOFT ├─ HAL_SECRET_AZURE-STORAGE_KEY ├─ {secrets.azure.storage.key} ├─ HAL_ALLOW_AZURE-STORAGE ├─ HAL_SECRET_AWS-S3_ACCESS_KEY ├─ {secrets.aws.s3.access_key} ├─ HAL_ALLOW_AWS-S3 └─ HAL_SECRET_UNRESTRICTED_TOKEN └─ {secrets.unrestricted.token} └─ (no restriction)
Scenario 1: Multi-Cloud Application
# Azure services
HAL_SECRET_AZURE-STORAGE_CONNECTION_STRING=DefaultEndpointsProtocol=https;... HAL_SECRET_AZURE-COGNITIVE_SPEECH_KEY=abcd1234... HAL_ALLOW_AZURE-STORAGE="https://*.blob.core.windows.net/*,https://*.queue.core.windows.net/*" HAL_ALLOW_AZURE-COGNITIVE="https://*.cognitiveservices.azure.com/*"
HAL_SECRET_AWS-S3_ACCESS_KEY=AKIA... HAL_SECRET_AWS-LAMBDA_API_KEY=lambda_key... HAL_ALLOW_AWS-S3="https://s3.*.amazonaws.com/*,https://*.s3.amazonaws.com/*" HAL_ALLOW_AWS-LAMBDA="https://*.lambda.amazonaws.com/*"
HAL_SECRET_GOOGLE-CLOUD_SERVICE_ACCOUNT_KEY={"type":"service_account"...} HAL_ALLOW_GOOGLE-CLOUD="https://*.googleapis.com/*"
Usage in requests:
{
"url": "https://mystorageaccount.blob.core.windows.net/container/file", "headers": { "Authorization": "Bearer {secrets.azure.storage.connection_string}" } }
✅ **Works**: URL matches Azure Storage pattern
❌ Blocked: If used with https://s3.amazonaws.com/bucket - wrong service!
Scenario 2: Development vs Production
# Development environment
HAL_SECRET_DEV-API_KEY=dev_key_123 HAL_ALLOW_DEV-API="https://dev-api.example.com/*,https://staging-api.example.com/*"
HAL_SECRET_PROD-API_KEY=prod_key_456 HAL_ALLOW_PROD-API="https://api.example.com/*"
Scenario 3: Department Isolation
# Marketing team APIs
HAL_SECRET_MARKETING-CRM_API_KEY=crm_key... HAL_SECRET_MARKETING-ANALYTICS_TOKEN=analytics_token... HAL_ALLOW_MARKETING-CRM="https://api.salesforce.com/*" HAL_ALLOW_MARKETING-ANALYTICS="https://api.googleanalytics.com/*"
HAL_SECRET_ENGINEERING-GITHUB_TOKEN=ghp_... HAL_SECRET_ENGINEERING-JIRA_API_KEY=jira_key... HAL_ALLOW_ENGINEERING-GITHUB="https://api.github.com/*" HAL_ALLOW_ENGINEERING-JIRA="https://*.atlassian.net/*"
When URL restrictions are violated, you get clear error messages:
❌ Error: Secret 'azure.storage.access_key' (namespace: AZURE-STORAGE) is not allowed for URL 'https://api.github.com/user'.
Allowed patterns: https://*.blob.core.windows.net/*, https://*.queue.core.windows.net/*
This helps you quickly identify:
| Environment Variable | Template Usage | URL Restriction |
|---|