MCP Bundler Service
About
A microservice for bundling MCP servers from GitHub repositories and preparing it for deployment.
Details
- License
- MIT
Explore
- GitHub Integration: Bundle code directly from any public GitHub repository
- Format Options: Output in either ESM (mjs) or CommonJS (cjs) format
- Commit Pinning: Specify exact commit hashes for reproducible builds
- GCP Storage: Optional upload of bundled code to Google Cloud Storage for further deployment
- Swagger Documentation: Interactive API documentation with Swagger UI
- Error Handling: Comprehensive error reporting with appropriate status codes
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP Bundler ServiceCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
pnpm install
The service includes a Dockerfile for containerized deployment:
For Google Cloud Run deployment, set the GCP_SERVICE_ACCOUNT_KEY environment variable with your service account credentials JSON.
| Variable | Description | Default |
|----------|-------------|---------|
| GCP_SERVICE_ACCOUNT_KEY | GCP service account credentials JSON | - |
| DISABLE_GCP_INTEGRATION | Set to "true" to disable GCP uploads | - |
| SENTRY_INGEST_URL | Sentry ingest URL | - |
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp bundler service": {
"mcp-bundler": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-bundler",
"."
]
}
}
}
}McpServers
{
"mcp-bundler": {
"command": "docker",
"args": [
"build",
"-t",
"mcp-bundler",
"."
]
}
}A microservice that bundles code from GitHub repositories and prepares it for deployment. It supports direct return of bundled code or uploading to Google Cloud Storage.
Quick Start
```bash
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