Google Cloud MCP Server
# Google Cloud MCP Server
A Model Context Protocol (MCP) server for Google Cloud services including Logging, Spanner, Monitoring, and Cloud Trace.
## Features
- **Google Cloud Logging**: Query logs, list log entries, and search across different log sources
- **Google Cloud Spanner**: Execute queries, list databases and instances, get schema information
- **Google Cloud Monitoring**: Query metrics, list metric descriptors, get monitoring data
- **Google Cloud Trace**: Retrieve trace data and analyze distributed system performance
- **Resource Discovery**: Automatically discover and list available Google Cloud resources
- **Project Management**: Tools for managing Google Cloud project settings
## Transport Support
This server supports two transport modes:
### 1. Stdio Transport (Default)
The traditional MCP stdio transport for use with MCP clients like Claude Desktop.
### 2. HTTP Transport (New!)
A web-based HTTP transport implementing the [MCP Streamable HTTP specification](https://modelcontextprotocol.io/docs/concepts/transports#streamable-http).
## Installation
```bash
# Clone the repository
git clone <repository-url>
cd google-cloud-mcp
# Install dependencies
pnpm install
# Build the project
pnpm build
```
## Configuration
### Environment Variables
- `GOOGLE_APPLICATION_CREDENTIALS`: Path to your Google Cloud service account key file
- `GOOGLE_CLOUD_PROJECT`: Your default Google Cloud project ID
- `GOOGLE_CLIENT_EMAIL`: Service account email (alternative to credentials file)
- `GOOGLE_PRIVATE_KEY`: Service account private key (alternative to credentials file)
- `LAZY_AUTH`: Set to 'false' to initialize auth immediately (default: 'true')
- `DEBUG`: Set to 'true' for debug logging
- `MCP_TRANSPORT`: Transport type - 'stdio' (default) or 'http'
- `MCP_HTTP_PORT`: Port for HTTP transport (default: 3000)
### Google Cloud Authentication
You can authenticate in several ways:
1. **Service Account Key File** (Recommended):
```bash
export GOOGLE_APPLICATION_CREDENTIALS=/path/to/service-account-key.json
```
2. **Environment Variables**:
```bash
export GOOGLE_CLIENT_EMAIL=your-service-account@project.iam.gserviceaccount.com
export GOOGLE_PRIVATE_KEY="-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n"
```
3. **Application Default Credentials**: If running on Google Cloud, ADC will be used automatically.
## Usage
### Using Stdio Transport (Default)
```bash
# Start with stdio transport
pnpm start
# Or explicitly specify stdio
MCP_TRANSPORT=stdio pnpm start
```
### Using HTTP Transport
```bash
# Start with HTTP transport
MCP_TRANSPORT=http pnpm start
# Or with custom port
MCP_TRANSPORT=http MCP_HTTP_PORT=8080 pnpm start
```
When using HTTP transport, the server will be available at:
- **MCP Endpoint**: `http://127.0.0.1:3000/mcp`
- **Health Check**: `http://127.0.0.1:3000/health`
### HTTP Transport Features
The HTTP transport implements the MCP Streamable HTTP specification with:
- **Session Management**: Automatic session ID assignment and tracking
- **Server-Sent Events (SSE)**: For real-time communication and server-initiated messages
- **Request/Response Handling**: Proper JSON-RPC 2.0 message handling
- **Security**: Origin validation to prevent DNS rebinding attacks
- **CORS Support**: Cross-origin requests support for web applications
- **Connection Management**: Automatic cleanup of stale connections
### HTTP Transport Usage Examples
#### Initialize Connection
```bash
curl -X POST http://127.0.0.1:3000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "initialize",
"params": {
"protocolVersion": "2024-11-05",
"capabilities": {},
"clientInfo": {
"name": "test-client",
"version": "1.0.0"
}
}
}'
```
The response will include a `Mcp-Session-Id` header that should be used in subsequent requests.
#### Make Requests with Session
```bash
curl -X POST http://127.0.0.1:3000/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-H "Mcp-Session-Id: <session-id>" \
-d '{
"jsonrpc": "2.0",
"id": 2,
"method": "tools/list",
"params": {}
}'
```
#### Server-Sent Events Stream
```bash
curl -X GET http://127.0.0.1:3000/mcp \
-H "Accept: text/event-stream" \
-H "Mcp-Session-Id: <session-id>"
```
## Available Tools
### Logging Tools
- `gcp-logging-query`: Query Google Cloud Logs
- `gcp-logging-list-entries`: List log entries with filters
### Spanner Tools
- `gcp-spanner-execute-query`: Execute SQL queries on Spanner databases
- `gcp-spanner-list-databases`: List Spanner databases
- `gcp-spanner-list-instances`: List Spanner instances
- `gcp-spanner-get-schema`: Get database schema information
- `gcp-spanner-query-count`: Get query execution metrics
### Monitoring Tools
- `gcp-monitoring-query`: Query monitoring metrics
- `gcp-monitoring-list-metrics`: List available metric descriptors
- `gcp-monitoring-get-resource-metrics`: Get metrics for specific resources
### Trace Tools
- `get-trace`: Retrieve trace data by trace ID
- `search-traces`: Search for traces with filters
- `get-trace-summary`: Get summary statistics for traces
### Project Tools
- `gcp-get-project-info`: Get current project information
- `gcp-list-enabled-services`: List enabled APIs and services
## Available Resources
### Logging Resources
- `gcp://logging/logs/{logName}`: Individual log resources
- `gcp://logging/entries`: Recent log entries
### Spanner Resources
- `gcp://spanner/instances`: List of Spanner instances
- `gcp://spanner/databases/{instanceId}`: Databases in an instance
- `gcp://spanner/schema/{instanceId}/{databaseId}`: Database schema
### Monitoring Resources
- `gcp://monitoring/metrics`: Available monitoring metrics
- `gcp://monitoring/resources`: Monitored resource types
### Trace Resources
- `gcp://trace/traces`: Recent trace data
## Available Prompts
- `analyze-logs`: Analyze log patterns and errors
- `query-optimization`: Optimize Spanner queries
- `troubleshoot-performance`: Troubleshoot application performance issues
- `security-analysis`: Analyze security-related logs and traces
## Development
```bash
# Install dependencies
pnpm install
# Run in development mode with stdio transport
pnpm dev
# Run in development mode with HTTP transport
MCP_TRANSPORT=http pnpm dev
# Build the project
pnpm build
# Run tests
pnpm test
# Lint the code
pnpm lint
# Format the code
pnpm format
```
## Troubleshooting
### Authentication Issues
1. **Check your credentials**:
```bash
gcloud auth application-default login
```
2. **Verify service account permissions**:
- Logging Viewer
- Spanner Database User
- Monitoring Viewer
- Cloud Trace User
3. **Test authentication**:
```bash
DEBUG=true pnpm start
```
### HTTP Transport Issues
1. **Port conflicts**: If port 3000 is in use, specify a different port:
```bash
MCP_HTTP_PORT=8080 MCP_TRANSPORT=http pnpm start
```
2. **CORS issues**: The server only accepts requests from localhost, 127.0.0.1, and .local domains for security.
3. **Session management**: Make sure to include the `Mcp-Session-Id` header in requests after initialization.
### Performance Issues
1. **Enable lazy authentication**:
```bash
LAZY_AUTH=true pnpm start
```
2. **Reduce logging verbosity**: Remove `DEBUG=true` from production environments.
## Security Considerations
### HTTP Transport Security
- The server binds only to `127.0.0.1` (localhost) by default
- Origin header validation prevents DNS rebinding attacks
- Sessions are automatically cleaned up
- Request timeouts prevent resource exhaustion
### Google Cloud Security
- Use service accounts with minimal required permissions
- Regularly rotate service account keys
- Monitor access logs for unusual activity
- Use VPC-native clusters when possible
## License
MIT License - see LICENSE file for details.
TDQS
Scored across 17 tools
Most tools have distinct purposes targeting different Google Cloud services (Spanner, Cloud Trace, Cloud Monitoring, Cloud Logging), though some overlap exists between query tools like 'query-logs' and 'find-traces-from-logs' which might cause confusion. The natural language query tools for different services are clearly differentiated by their target domains.
The naming follows a mostly consistent verb-noun pattern with hyphens, but there are inconsistencies: 'get-project-id' and 'set-project-id' use a different structure than others, and some tools use compound nouns (e.g., 'natural-language-metrics-query') while others are simpler. The overall pattern is readable but mixed.
With 17 tools, the count is slightly high but reasonable for covering multiple Google Cloud services like Spanner, Trace, Logging, and Monitoring. It provides a comprehensive surface without being overwhelming, though it borders on the heavy side for a single server.
The tool set covers querying and listing operations for Spanner, Trace, Logging, and Monitoring, but lacks obvious CRUD operations (e.g., create/update/delete resources) and management functions. This creates gaps for full lifecycle management, though core query workflows are supported.