io.github.DeanWard/HAL MCP Server
io.github.DeanWard/HAL
HTTP API layer for LLMs—make requests, manage secrets, and auto-generate tools from OpenAPI specs.
What is the io.github.DeanWard/HAL MCP server?
HAL (HTTP API Layer) is an MCP server that enables Large Language Models to make HTTP requests and interact with web APIs through a secure, controlled interface. It supports GET, POST, PUT, PATCH, DELETE, and other HTTP methods, with automatic tool generation from OpenAPI/Swagger specifications and built-in secret management.
HAL lets Claude and other LLMs call HTTP APIs safely. It handles authentication via environment-based secrets (never exposing them to the AI), automatically generates tools from OpenAPI specs, and provides URL filtering and secret redaction for security. Use it to integrate any REST API into your AI workflows.
How to install io.github.DeanWard/HAL
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
http-get— Make HTTP GET requests to any URL with optional headershttp-post— Make HTTP POST requests with headers and request bodyhttp-put— Make HTTP PUT requests for updating resourceshttp-patch— Make HTTP PATCH requests for partial updateshttp-delete— Make HTTP DELETE requestshttp-options— Make HTTP OPTIONS requestshttp-head— Make HTTP HEAD requestslist-secrets— List available secret keys that can be used in requests (shows key names only, never values)
Use cases
- Call REST APIs from Claude to fetch data, create records, or trigger workflows
- Integrate third-party services (GitHub, Stripe, Google APIs, etc.) with automatic authentication
- Auto-generate MCP tools from OpenAPI/Swagger specs for seamless API integration
- Securely manage API keys and credentials without exposing them to the LLM
- Build multi-cloud applications with namespace-based secret management and URL restrictions
io.github.DeanWard/HAL MCP server FAQ
HAL is an MCP server that gives Claude and other LLMs the ability to make HTTP requests to any API. It handles authentication securely, auto-generates tools from OpenAPI specs, and redacts sensitive data from responses.
Yes, HAL is open-source and free to use. Install it via npm (hal-mcp) and run it locally or in your MCP-compatible client.
Add HAL to your Claude Desktop config file with: {"mcpServers": {"hal": {"command": "npx", "args": ["hal-mcp"]}}}. You can also set environment variables for OpenAPI specs and secrets.
Define secrets as environment variables with the HAL_SECRET_ prefix (e.g., HAL_SECRET_API_KEY=xyz). Reference them in requests using {secrets.api_key}. HAL substitutes the actual value at request time and redacts it from all responses so Claude never sees the real secret.
Yes. Use HAL_WHITELIST_URLS to allow only specific URLs, or HAL_BLACKLIST_URLS to block certain patterns. You can also restrict namespaced secrets to specific domains using HAL_ALLOW_* variables.
Yes. Set HAL_SWAGGER_FILE to a local path or URL pointing to your OpenAPI/Swagger spec, and HAL_API_BASE_URL to your API endpoint. HAL will automatically create tools for each API operation.
README (reference)
Source of truth, from the repository.
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
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 withHAL_API_BASE_URL)
- Local file path:
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
-
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 -
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}"}
- URLs:
-
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
- Secret Tracking: HAL maintains a registry of all secret values from environment variables
- Response Scanning: All HTTP responses (headers, bodies, error messages) are scanned for secret values
- Automatic Replacement: Any occurrence of actual secret values is replaced with
[REDACTED]before sending to the AI - 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:
- Remove
HAL_SECRET_prefix →AZURE-STORAGE_ACCESS_KEY - Split on first
_→ Namespace:AZURE-STORAGE, Key:ACCESS_KEY - Transform namespace:
AZURE-STORAGE→azure.storage(dashes become dots, lowercase) - Transform key:
ACCESS_KEY→access_key(underscores stay, lowercase) - 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 Variable | Template Usage | URL Restriction |
|---|---|---|
HAL_SECRET_GITHUB_TOKEN | {secrets.github.token} | HAL_ALLOW_GITHUB |
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_GOOGLE-CLOUD_API_KEY | {secrets.google.cloud.api_key} | HAL_ALLOW_GOOGLE-CLOUD |
Pattern: HAL_SECRET_<NAMESPACE>_<KEY> → {secrets.<namespace>.<key>} + HAL_ALLOW_<NAMESPACE>
Backward Compatibility
Non-namespaced secrets (without URL restrictions) continue to work as before:
HAL_SECRET_API_KEY=your-key
# Usage: {secrets.api_key} - works with any URL (no restrictions)
URL Filtering
HAL supports global URL filtering to control which URLs can be accessed through whitelist or blacklist patterns. This provides an additional security layer beyond the namespace-based secret restrictions.
Whitelist Mode
When HAL_WHITELIST_URLS is set, only URLs matching the specified patterns are allowed:
# Only allow requests to GitHub and Google APIs
HAL_WHITELIST_URLS="https://api.github.com/*,https://*.googleapis.com/*"
Blacklist Mode
When HAL_BLACKLIST_URLS is set, all URLs are allowed except those matching the specified patterns:
# Block requests to internal networks and localhost
HAL_BLACKLIST_URLS="http://localhost:*,https://192.168.*,https://10.*,https://172.16.*"
Pattern Syntax
URL patterns support wildcard matching using *:
https://api.example.com/*- Matches any path under the APIhttps://*.example.com/*- Matches any subdomain*://internal.company.com/*- Matches any protocol
Important Notes
- Whitelist takes precedence: If both
HAL_WHITELIST_URLSandHAL_BLACKLIST_URLSare set, the whitelist is used and a warning is logged - Global filtering: This applies to all HTTP requests, regardless of secrets or tools used
- Case-insensitive: URL pattern matching is case-insensitive
- No filtering by default: If neither environment variable is set, all URLs are allowed
Examples
# Production environment - only allow specific APIs
HAL_WHITELIST_URLS="https://api.stripe.com/*,https://*.googleapis.com/*,https://api.github.com/*"
# Development environment - block internal services
HAL_BLACKLIST_URLS="http://localhost:*,https://192.168.*,https://admin.internal.com/*"
# Restrictive setup - only allow HTTPS to specific domains
HAL_WHITELIST_URLS="https://api.trusted-service.com/*,https://webhooks.trusted-service.com/*"
Example Usage
{
"url": "https://api.github.com/user",
"headers": {
"Authorization": "Bearer {secrets.github_token}",
"Accept": "application/vnd.github.v3+json"
}
}
The {secrets.github_token} will be replaced with the value of HAL_SECRET_GITHUB_TOKEN environment variable before making the request.
Available Tools
Built-in HTTP Tools
These tools are always available regardless of configuration:
list-secrets
Get a list of available secret keys that can be used with {secrets.key} syntax.
Parameters: None
Example Response:
Available secrets (3 total):
You can use these secret keys in your HTTP requests using the {secrets.key} syntax:
1. {secrets.api_key}
2. {secrets.github_token}
3. {secrets.username}
Usage examples:
- URL: "https://api.example.com/data?token={secrets.api_key}"
- Header: {"Authorization": "Bearer {secrets.api_key}"}
- Body: {"username": "{secrets.username}"}
Security Note: Only shows the key names, never the actual secret values.
http-get
Make HTTP GET requests to any URL.
Parameters:
url(string, required): The URL to requestheaders(object, optional): Additional headers to send
Example:
{
"url": "https://api.github.com/user",
"headers": {
"Authorization": "Bearer {secrets.github_token}",
"Accept": "application/vnd.github.v3+json"
}
}
http-post
Make HTTP POST requests with optional body and headers.
Parameters:
url(string, required): The URL to requestbody(string, optional): Request body contentheaders(object, optional): Additional headers to sendcontentType(string, optional): Content-Type header (default: "application/json")
Example:
{
"url": "https://api.example.com/data",
"body": "{\"message\": \"Hello, World!\", \"user\": \"{secrets.username}\"}",
"headers": {
"Authorization": "Bearer {secrets.api_key}"
},
"contentType": "application/json"
}
Auto-generated Swagger/OpenAPI Tools
When you provide a Swagger/OpenAPI specification via HAL_SWAGGER_FILE, HAL will automatically generate tools for each endpoint defined in the specification. These tools are named using the pattern swagger_{operationId} and include:
- Automatic parameter validation based on the OpenAPI schema
- Path parameter substitution (e.g.,
/users/{id}→/users/123) - Query parameter handling
- Request body support for POST/PUT/PATCH operations
- Proper HTTP method mapping
For example, if your OpenAPI spec defines an operation with operationId: "getUser", HAL will create a tool called swagger_getUser that you can use directly.
Available Resources
docs://hal/api
Access comprehensive API documentation and usage examples, including documentation for any auto-generated Swagger tools.
OpenAPI/Swagger Integration Details
Supported OpenAPI Features
- ✅ OpenAPI 3.x and Swagger 2.x specifications
- ✅ JSON and YAML format support
- ✅ Path parameters (
/users/{id}) - ✅ Query parameters
- ✅ Request body (JSON, form-encoded)
- ✅ All HTTP methods (GET, POST, PUT, PATCH, DELETE, etc.)
- ✅ Parameter validation (string, number, boolean, arrays)
- ✅ Required/optional parameter handling
- ✅ Custom headers support
Example OpenAPI Integration
Given this OpenAPI specification:
openapi: 3.0.0
info:
title: Example API
version: 1.0.0
servers:
- url: https://api.example.com/v1
paths:
/users/{id}:
get:
operationId: getUser
summary: Get user by ID
parameters:
- name: id
in: path
required: true
schema:
type: string
responses:
'200':
description: Success
HAL will automatically create a swagger_getUser tool that the LLM can use like:
{
"id": "123"
}
This will make a GET request to https://api.example.com/v1/users/123.
Development
Prerequisites
- Node.js 18 or later
- npm or yarn
Setup
# Clone the repository
git clone https://github.com/your-username/hal-mcp.git
cd hal-mcp
# Install dependencies
npm install
# Build the project
npm run build
# Run in development mode
npm run dev
Scripts
npm run build- Build the TypeScript projectnpm run dev- Run in development mode with hot reloadnpm start- Start the built servernpm run lint- Run ESLintnpm test- Run tests
Security Considerations
- HAL makes actual HTTP requests to external services
- Use appropriate authentication and authorization for your APIs
- Be mindful of rate limits and API quotas
- Consider network security and firewall rules
- When using Swagger integration, ensure your OpenAPI specifications are from trusted sources
Contributing
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Built with the Model Context Protocol TypeScript SDK
- Inspired by the need for LLMs to interact with web APIs safely and efficiently
- OpenAPI integration powered by swagger-parser
Related MCP servers
Pseudonymizes PII before your LLM and returns a cryptographically signed receipt per response.

Web scraping API for AI agents—scrape dynamic sites, search engines, and eCommerce without building infrastructure.
An MCP Server that provides identity verification and anti-fraud tools for AI agents via deepidv.

Deep Agentic Core MCP
Unified MCP server for AgenticLens and Agentic Chaos capabilities.
Korean stock & crypto for AI agents. KRX news, financials, risk via x402 USDC payments.
View repository →Energy management platform — 61 tools for solar, battery, grid, and EV charging control
View repository →


