WorkerLane MCP Server
AI & Memory
Local
Enables any MCP-compatible agent to manage coworker agents with task queues, human approvals, schema-validated handoffs, memory, and trace logging, with local-first storage in ~/.workerlane.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/txdx6i9sc0 for deploy options, or install from https://github.com/talocode/workerlane (see README for MCP config).
2
GitHub
Install from https://github.com/talocode/workerlane and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.