drift-mcp
Verified Safeby Use-Tusk
Overview
This MCP server enables AI assistants to search, analyze, and debug API traffic data captured by Tusk Drift, including HTTP requests, database queries, and distributed traces.
Installation
npx -y @use-tusk/drift-mcpEnvironment Variables
- TUSK_API_KEY
- TUSK_DRIFT_API_URL
- TUSK_DRIFT_SERVICE_ID
- TUSK_WORKSPACE_ROOTS
Security Notes
The server uses Zod for robust input validation on all tool arguments, significantly reducing injection risks. API keys are handled via environment variables, which is a good practice. Network communication is explicitly to the Tusk Drift API over HTTPS. File system interaction is limited to discovering `.tusk/config.yaml` files within specified or current directories, using safe parsing via regex rather than a full YAML parser, and resolving paths with `fs.realpathSync`. No 'eval' or direct shell execution of user-controlled input is observed. The HTTP transport relies on the `@modelcontextprotocol/sdk` which is assumed to be secure.
Similar Servers
chrome-devtools-mcp
Control and inspect a live Chrome browser programmatically via an MCP server, enabling AI coding agents to perform reliable automation, in-depth debugging, and performance analysis.
lunar
The Lunar MCP Server acts as an HTTP proxy, designed to intercept, analyze, and manage API traffic within a Python environment, applying policies for caching, throttling, queueing, and collecting data for observability.
dynatrace-mcp
The Dynatrace MCP Server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into development workflows for contextual debugging, security insights, and automation.
opentelemetry-mcp-server
Enables AI assistants to query and analyze OpenTelemetry traces from LLM applications for debugging, performance, and cost optimization.