Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
HAL (HTTP API Layer) - An MCP server that provides HTTP API capabilities to Large Language Models
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"hal": {
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}在终端中运行这条命令
claude mcp add hal -- npx -y hal-mcp粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"hal": {
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"hal": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"hal-mcp"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 DeanWard 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(1.0.14)于14个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Spec Driven Development, Remote Desktop Commander, HotCodePush
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Manage over-the-air (OTA) updates for React Native, Expo, Capacitor and Cordova apps.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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 |
|---|
只显示了开头部分;其余内容请在仓库中阅读