# exception-mcp-server

> Use this tool when you need to analyze exceptions using AI-powered insights, leveraging vector similarity search and Azure OpenAI to identify patterns and anomalies for operations teams. It solves problems related to exception monitoring, error detection, and root cause analysis, providing actionable outputs to inform operational decisions. The tool accepts exception data as input and outputs insightful analysis and recommendations for further investigation.

Canonical page: https://skillsregistry.net/skills/18abhi89-exception-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/18abhi89-exception-mcp-server

## Description

Enables AI-powered analysis of exceptions using vector similarity search and Azure OpenAI for operations teams.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d63dxsfj2m)
- **Repository:** <https://github.com/18abhi89/exception-mcp-server>

## 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": "18abhi89-exception-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/18abhi89-exception-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/18abhi89-exception-mcp-server/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