# Incident Triage MCP

> Use this tool when you need to efficiently manage and respond to incidents, as it provides a centralized platform for evidence retrieval, automated summaries, and streamlined ticket workflows. It solves problems related to incident handling, such as data collection, analysis, and communication, and accepts inputs like incident reports and evidence data, generating outputs like summaries, tickets, and notifications. Ideal for use in IT, security, or emergency response contexts where rapid and informed decision-making is crucial.

Canonical page: https://skillsregistry.net/skills/felixkwasisarpong-incident-triage-mcp  
JSON: https://api.skillsregistry.net/v1/skills/felixkwasisarpong-incident-triage-mcp

## Description

Incident Triage MCP is a Model Context Protocol (MCP) server for incident triage. It provides safe, auditable tools for evidence retrieval, deterministic summaries, ticket workflows, and notifications.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/we9lzzcys3)
- **Repository:** <https://github.com/felixkwasisarpong/incident-triage-mcp>

## 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": "felixkwasisarpong-incident-triage-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/felixkwasisarpong-incident-triage-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/felixkwasisarpong-incident-triage-mcp/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
