# MCP-Copilot-Automations

> MCP-Copilot-Automations — neerajks77-capstone-project-copilot-automations. Use this tool when you need to automate IT operations by resolving user intents and creating service requests. It bridges large language models (LLMs) with enterprise IT operations, taking in user intents and outputting resolved requests via Dataverse, ServiceNow, and Azure Automation Webhooks. Ideal for streamlining IT service management and automating routine tasks, it simplifies the process of triggering automated workflows and creating service requests.

Canonical page: https://skillsregistry.net/skills/neerajks77-capstone-project-copilot-automations  
JSON: https://api.skillsregistry.net/v1/skills/neerajks77-capstone-project-copilot-automations

## Description

Bridges LLMs with enterprise IT operations by resolving user intents via Dataverse, creating ServiceNow service requests, and triggering Azure Automation Webhooks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hk1k6vybrh)
- **Repository:** <https://github.com/neerajks77/capstone-project-copilot-automations>

## 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": "neerajks77-capstone-project-copilot-automations"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/neerajks77-capstone-project-copilot-automations` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/neerajks77-capstone-project-copilot-automations/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
