Muster
Provides a universal control plane for AI agents and platform engineers to manage and interact with Model Context Protocol (MCP) servers.
About
Muster acts as a meta-MCP server, addressing the challenges faced by platform engineers and AI agents in managing a multitude of Model Context Protocol (MCP) servers. It resolves issues like context pollution, tedious manual server management, overwhelming tool discovery, and lack of coordination between tools, by providing intelligent aggregation and dynamic control over various developer tools and services, ultimately streamlining interactions for AI agents through a single interface.
Key Features
- Automated Prerequisite Handling using ServiceClasses
- Smart Access Control (tool filtering, project-based control)
- Intelligent Tool Discovery for AI agents
- Deterministic Task Automation with Workflows
- 2 GitHub stars
- Dynamic MCP Server Management (lifecycle control, health monitoring)
Use Cases
- Automating complex, multi-step infrastructure tasks and sharing them as reproducible workflows
- Setting up and orchestrating a full observability stack (e.g., Prometheus, Grafana) for AI agents
- Debugging applications across multiple Kubernetes clusters with AI assistance