Orchestrates AI agents and their associated tools by defining infrastructure in YAML for unified local deployment.
Sponsored
Agentlab provides a local stack for developing, testing, and orchestrating AI agents, simplifying the deployment and management of complex agent infrastructures. It functions as a powerful protocol bridge, aggregating tools from numerous MCP (Model Context Protocol) servers into a single, unified gateway endpoint. By defining your entire MCP topology in a single YAML file, you can deploy and manage diverse tool servers—whether containerized, local processes, or remote—with a single command, allowing clients like Claude Desktop to connect once and access all tools seamlessly with automatic namespacing.
Key Features
01Topology as Code for defining MCP infrastructure
02Protocol Bridge for aggregating tools from multiple MCP servers
03Web UI for real-time topology visualization and monitoring
04Support for multiple transports (HTTP, Stdio, Local, SSH, External URL)
05Agent Access Control for managing tool visibility
060 GitHub stars
Use Cases
01Deploying and managing complex AI agent infrastructures locally
02Aggregating tools from multiple MCP servers into a single, unified gateway
03Providing controlled access to specific tools for different AI agents
