goclaw for MCP
Goclaw: MCP Server for Enterprise AI Agent Gateway Management
- Free
- 4.3
- V v3.15.0-beta.208
Goclaw: MCP Server for Enterprise AI Agent Gateway Management
Goclaw is an MCP server tool developed by Nextlevelbuilder for the mcp platform. This free program, built with TypeScript and Zod, connects to the GoClaw AI agent gateway, an enterprise-grade AI agent platform. Goclaw helps manage GoClaw Gateway servers, providing essential tools for deploying and overseeing AI agent teams at scale. Its distribution via npx makes it accessible for developers.
What does Goclaw connect to?
Goclaw connects directly to the GoClaw AI agent gateway, which functions as an enterprise-grade AI agent platform and an AI agent runtime. Categorized as an MCP (Model Context Protocol) server, Goclaw is specifically designed for GoClaw Gateway server management. This connection enables interaction with the core AI agent infrastructure, allowing for control and monitoring of agent operations. It serves as a crucial interface for integrating with the broader GoClaw ecosystem.
Core features and tools
The goclaw-mcp server offers 66 MCP tools that cover all GoClaw management operations. It also provides 4 MCP resources for real-time gateway context. Notable callable tools include goclaw_health, goclaw_status, and goclaw_models_list. The GoClaw gateway itself incorporates 32 built-in tools for functions such as file system access, web search, browser interaction, and code execution. Custom tools can also be integrated via an HTTP API, extending agent capabilities.
Who is it for?
Goclaw and the GoClaw ecosystem are intended for enterprises and developers focused on deploying and managing AI agent teams at scale. It addresses the needs of organizations requiring structured methods for AI agent infrastructure. This includes those seeking secure, scalable multi-tenant AI workflows with data isolation, or looking to extend AI agent capabilities through custom tool integration. Skip this if your focus is not on enterprise-level AI agent deployment and management.
How to get started
The server authenticates using an API key passed as an environment variable. Specifically, GOCLAW_SERVER must be configured with the GoClaw gateway URL, and GOCLAW_TOKEN provides the necessary Bearer token for RBAC, supporting both stdio for local use and Streamable HTTP for production environments.
Use cases
- Managing GoClaw AI gateway infrastructure using AI assistants, allowing for automated oversight and control of agent deployments and operations.
- Secure and scalable deployment of multi-tenant AI workflows with data isolation, ensuring that different user groups or applications maintain separate data contexts.
- Extending AI agent capabilities through custom tool integration and external MCP servers, enabling agents to interact with specialized services and data sources.
Goclaw serves as a vital MCP server for managing the GoClaw AI agent gateway, offering a structured approach for enterprises and developers. It provides extensive tools and resources for deploying and overseeing AI agent teams, supporting both local and production environments. Its design considers scalability and secure multi-tenancy. Start by configuring GOCLAW_SERVER and GOCLAW_TOKEN to connect to your GoClaw gateway.
Pros
- Manages 66 GoClaw operations tools.
- Supports dual transport protocols.
- Enables multi-tenant AI workflows.
- Allows custom tool integration.
Cons
- Requires manual environment variable setup.
- GoClaw gateway needs upstream authentication.
- Specific AI clients confirmed for stdio only.
- GoClaw gateway setup involves config files.
goclaw for MCP
- Free
- 4.3
- V v3.15.0-beta.208
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