reqable-mcp-server
v1.0.2
Published
Reqable MCP Server - Connect your AI to Reqable via Model Context Protocol
Maintainers
Readme
Reqable MCP Server
Reqable MCP Server is a command-line tool that connects your AI assistant to Reqable via the Model Context Protocol (MCP).
It exposes Reqable's APIs as MCP tools, enabling AI models to interact with Reqable's debugging and traffic management features.
Installation
npm install -g reqable-mcp-serverNote: npm automatically downloads only the native binary matching your platform — no need to worry about other platform binaries.
Usage
reqable-mcp-server --helpOptions
| Option | Alias | Description | Default |
|--------|-------|-------------|---------|
| --host | -h | Reqable app host | 127.0.0.1 |
| --port | -p | Reqable app port | 9000 |
| --scope | -s | Tool scope (minimal, full) | minimal |
Example
reqable-mcp-server --host 127.0.0.1 --port 9000 --scope fullMCP Configuration
Add to your AI assistant's MCP configuration (e.g., Claude Desktop, VS Code Copilot):
{
"mcpServers": {
"reqable-mcp": {
"command": "npx",
"args": [
"-y",
"reqable-mcp-server"
]
}
}
}Or with a local installation:
{
"mcpServers": {
"reqable-mcp": {
"command": "reqable-mcp-server",
"args": []
}
}
}Supported Platforms
| Platform | Architecture | Status | |----------|-------------|--------| | macOS | ARM64 (Apple Silicon) | ✅ | | macOS | x64 (Intel) | ✅ | | Linux | x64 | ✅ | | Windows | x64 | ✅ |
How It Works
This package uses platform-specific optional dependencies — the same pattern used by esbuild, swc, and other popular tools. When you npm install, npm automatically downloads only the native binary for your platform:
| Platform Package | OS | CPU |
|-----------------|----|----|
| reqable-mcp-server-darwin-arm64 | macOS | arm64 (Apple Silicon) |
| reqable-mcp-server-darwin-x64 | macOS | x64 (Intel) |
| reqable-mcp-server-linux-x64 | Linux | x64 |
| reqable-mcp-server-win32-x64 | Windows | x64 |
The Node.js entry script (bin/mcp-server.js) locates the binary from the matching platform package and spawns it. This approach provides:
- Performance: Native execution speed via Dart AOT compilation
- Efficient installs: Only ~6MB download (single platform binary), not ~25MB (all platforms)
- Zero dependencies: No Dart SDK or runtime required at install time
License
MIT
