# WorkerLane MCP Server

> WorkerLane MCP Server — talocode-workerlane. Use this tool when you need to manage and coordinate multiple agent workflows, enabling efficient task distribution and monitoring. It solves problems of agent collaboration, task queue management, and data handoff validation, providing a robust interface for inputs such as task assignments and outputs like logged traces and validated handoffs. Ideal for use cases requiring decentralized, local-first storage and control over coworker agents.

Canonical page: https://skillsregistry.net/skills/talocode-workerlane  
JSON: https://api.skillsregistry.net/v1/skills/talocode-workerlane

## Description

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.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/txdx6i9sc0)
- **Repository:** <https://github.com/talocode/workerlane>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "talocode-workerlane"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/talocode-workerlane` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/talocode-workerlane/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt