GoClaw FAQs

Question 1

How does GoClaw integrate with AI assistants?

Accepted Answer

GoClaw seamlessly integrates with AI assistants via the Model Context Protocol (MCP). It supports dual transport: stdio for local development environments (e.g., with Claude Code or Cursor) and Streamable HTTP for robust production deployments, allowing AI assistants to directly manage your gateway.

Question 2

What is GoClaw and its primary purpose?

Accepted Answer

GoClaw is a powerful platform designed for managing AI gateway infrastructure. The `goclaw-mcp` component serves as an MCP (Model Context Protocol) server, enabling AI assistants (like Claude or Cursor) and other MCP clients to interact with and programmatically manage your GoClaw AI gateway.

Question 3

What kind of management capabilities does GoClaw offer?

Accepted Answer

GoClaw provides 66 comprehensive MCP tools covering all aspects of AI gateway management. This includes overseeing system health, agents, sessions, LLM providers, configuration, skills, custom tools, cron jobs, teams, traces, channels, and memory, offering granular control over your AI infrastructure.

Question 4

What security features are built into GoClaw for enterprise use?

Accepted Answer

GoClaw is built with enterprise security in mind, offering features like secret scrubbing (to prevent sensitive data in logs), comprehensive audit logging for every tool invocation, session-based rate limiting, origin validation for DNS rebinding prevention, type-safe input validation using Zod schemas, and auth passthrough for GoClaw's Role-Based Access Control (RBAC).

Question 5

Can GoClaw be used for both development and production environments?

Accepted Answer

Yes, GoClaw is versatile for both development and production. For local development and quick testing, it supports stdio transport. For scalable and secure production deployments, it offers a Streamable HTTP server, enabling multi-client access and robust operations with configurable ports and allowed origins.

GoClaw

GoClaw

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