# stateless-mcp-incident-lab-typescript-sdk

> stateless-mcp-incident-lab-typescript-sdk — maximalfocus-stateless-mcp-incident-lab-typescript-sdk. Use this tool when you need to interact with incident lab operations via a stateless MCP server, solving problems related to incident management and health monitoring. It provides MCP and health endpoints, allowing for conformance testing and integration with existing systems. Ideal for use cases requiring programmatic access to incident lab data and operations, with inputs including API requests and outputs including response data and test results.

Canonical page: https://skillsregistry.net/skills/maximalfocus-stateless-mcp-incident-lab-typescript-sdk  
JSON: https://api.skillsregistry.net/v1/skills/maximalfocus-stateless-mcp-incident-lab-typescript-sdk

## Description

A stateless MCP server for incident lab operations, exposing MCP and health endpoints, with conformance testing.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p4qxs8r4lm)
- **Repository:** <https://github.com/maximalfocus/stateless-mcp-incident-lab-typescript-sdk>

## 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": "maximalfocus-stateless-mcp-incident-lab-typescript-sdk"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maximalfocus-stateless-mcp-incident-lab-typescript-sdk` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maximalfocus-stateless-mcp-incident-lab-typescript-sdk/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