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PopNx MCPMCP servers for people who use AI · explained in plain words

HAL

by DeanWardversion 1.0.14i★ 38iRuns on your computer
Registry nameio.github.DeanWard/HAL

How to install

What it does

HAL (HTTP API Layer) - An MCP server that provides HTTP API capabilities to Large Language Models

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Other

Install

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

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "hal": {
          "command": "npx",
          "args": [
            "-y",
            "hal-mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    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

What you can do instead

A · Use an app that can connect HAL

  • Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)
  • Install Node.js on your computer first (one time)

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)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add --scope user hal -- npx -y hal-mcp
  4. Type /mcp in Claude Code

    You should see HAL listed as connected

  5. Try it

    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)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    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)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    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.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use HAL💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user hal -- npx -y hal-mcp

Claude 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.

At a glance

Downloads per weeki
96/wk
Connection
Runs on your computer
Latest versioni
1.0.14
Categoryi
Other
Published to registryi
Sep 9, 2025
Code last changedi
Oct 22, 2025
Maker
DeanWard
Packages
npm: hal-mcp
Registry status
Active

Which apps can use it

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

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 12, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account DeanWard, which owns the repo

  • ✕ Fail

    Still maintained

    No code changes for over a year, or the repo is archived

  • ✓ Pass

    Has a licence

    Uses MIT

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

Sign in with Google to write a review

Compared with others in Otheri

  • More stars than 98% of the other 19354 servers in this category
  • Published to the registry more recently than 0% of the other 19354 servers in this category
  • Basic checks equal to or better than 43% of the other 19354 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 HAL safe?

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.

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 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).

Is it still maintained?

The GitHub repo last changed 13 months ago, and the latest version (1.0.14) reached the registry 14 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Windmill

Others in the same category

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.

by koala73Widely used★ 90.5KUpdated today

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.5KUpdated 14 months ago

Runs on your computer

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

by windmill-labsWidely used★ 18.5KUpdated today

Runs in the cloud

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.

HAL (HTTP API Layer)

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.

Documentation

[Complete Documentation →](https://deanward.github.io/HAL/documentation/)

Visit our comprehensive documentation site for detailed guides, examples, and API reference.

Features

  • HTTP GET/POST/PUT/PATCH/DELETE/OPTIONS/HEAD Requests: Fetch and send data to any HTTP endpoint
  • Secure Secret Management: Environment-based secrets with {secrets.key} substitution and automatic redaction
  • Swagger/OpenAPI Integration: Automatically generate tools from API specifications
  • Built-in Documentation: Self-documenting API reference
  • Secure: Runs in isolated environment with controlled access
  • Fast: Built with TypeScript and optimized for performance

Usage

HAL is designed to work with MCP-compatible clients. Here are some examples:

Basic Usage (Claude Desktop)

Add HAL to your Claude Desktop configuration (npx will automatically install and run HAL):

{

"mcpServers": { "hal": { "command": "npx", "args": ["hal-mcp"] } } }

With Swagger/OpenAPI Integration and Secrets

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" } } } }

URL-based Configuration

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" } } } }

Direct Usage
# Start the HAL server with default tools

npx hal-mcp

Or with Swagger/OpenAPI integration

HAL_SWAGGER_FILE=/path/to/api.yaml HAL_API_BASE_URL=https://api.example.com npx hal-mcp

Or load from URL

HAL_SWAGGER_FILE=/swagger/v1/swagger.json HAL_API_BASE_URL=http://localhost:5065 npx hal-mcp

Configuration

HAL supports the following environment variables:

  • HAL_SWAGGER_FILE: Path or URL to OpenAPI/Swagger specification file (JSON or YAML format). Can be:
  • Local file path: /path/to/api.yaml
  • Full URL: https://api.example.com/swagger.json
  • Relative path: /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)

Secret Management

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.

How It Works
  1. Environment Variables: Define secrets using the HAL_SECRET_ prefix:
   HAL_SECRET_API_KEY=your-secret-api-key

HAL_SECRET_TOKEN=your-auth-token HAL_SECRET_USERNAME=your-username

  1. Template Substitution: Reference secrets in your requests using {secrets.key} syntax:
  • URLs: https://api.example.com/data?token={secrets.token}
  • Headers: {"Authorization": "Bearer {secrets.api_key}"}
  • Request Bodies: {"username": "{secrets.username}", "password": "{secrets.password}"}
  1. Security: The AI never sees the actual secret values, only the template placeholders. Values are substituted at request time.
Automatic Secret Redaction

HAL automatically redacts secret values from all responses sent back to the AI, providing an additional layer of security against credential exposure.

How It Works
  1. Secret Tracking: HAL maintains a registry of all secret values from environment variables
  2. Response Scanning: All HTTP responses (headers, bodies, error messages) are scanned for secret values
  3. Automatic Replacement: Any occurrence of actual secret values is replaced with [REDACTED] before sending to the AI
  4. Comprehensive Coverage: Redaction applies to:
  • Error messages (including URL parsing errors that might expose credentials)
  • Response headers (in case APIs echo back authentication data)
  • Response bodies (protecting against API responses that might include sensitive data)
  • All other text returned to the AI
Example Protection

Before (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.

Namespaces and URL Restrictions

HAL supports organizing secrets into namespaces and restricting them to specific URLs for enhanced security:

Namespace Convention

Use - for namespace separators and _ for word separators within keys:

# Single namespace

HAL_SECRET_MICROSOFT_API_KEY=your-api-key

Usage: {secrets.microsoft.api_key}

Multi-level namespaces

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

Usage: {secrets.azure.storage.access_key}

Usage: {secrets.azure.cognitive.api_key}

Usage: {secrets.google.cloud.storage.service_account_key}

URL Restrictions

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/*"

Restrict Azure Storage secrets to Azure storage endpoints

HAL_SECRET_AZURE-STORAGE_ACCESS_KEY=your-storage-key HAL_ALLOW_AZURE-STORAGE="https://*.blob.core.windows.net/*,https://*.queue.core.windows.net/*"

Multiple URLs are comma-separated

HAL_SECRET_GOOGLE-CLOUD_API_KEY=your-google-key HAL_ALLOW_GOOGLE-CLOUD="https://*.googleapis.com/*,https://*.googlecloud.com/*"

How Parsing Works

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:

  1. Remove HAL_SECRET_ prefix → AZURE-STORAGE_ACCESS_KEY
  2. Split on first _ → Namespace: AZURE-STORAGE, Key: ACCESS_KEY
  3. Transform namespace: AZURE-STORAGE → azure.storage (dashes become dots, lowercase)
  4. Transform key: ACCESS_KEY → access_key (underscores stay, lowercase)
  5. Combine: {secrets.azure.storage.access_key}
More Examples
# Simple namespace

HAL_SECRET_GITHUB_TOKEN=your_token → {secrets.github.token}

Two-level namespace

HAL_SECRET_AZURE-COGNITIVE_API_KEY=your_key → {secrets.azure.cognitive.api_key}

Three-level namespace

HAL_SECRET_GOOGLE-CLOUD-STORAGE_SERVICE_ACCOUNT=your_account → {secrets.google.cloud.storage.service_account}

Complex key with underscores

HAL_SECRET_AWS-S3_BUCKET_ACCESS_KEY_ID=your_id → {secrets.aws.s3.bucket_access_key_id}

No namespace (legacy style)

HAL_SECRET_API_KEY=your_key → {secrets.api_key}

Visual Guide: Complete Flow
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)

Security Benefits
  • Principle of Least Privilege: Secrets only work with their intended services
  • Prevents Cross-Service Leakage: Azure secrets can't be sent to AWS APIs
  • Defense in Depth: Even with AI errors or prompt injection, secrets are constrained
  • Clear Organization: Namespace structure makes secret management more intuitive
Real-World Usage Scenarios

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/*"

AWS services

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/*"

Google Cloud

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/*"

Production environment

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/*"

Engineering team APIs

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/*"

Error Examples

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:

  • Which secret was blocked
  • What URL was attempted
  • What URLs are actually allowed
Quick Reference
Environment VariableTemplate UsageURL Restriction

Only the beginning is shown; read the rest in the repo