# ServiceNow

> Use this tool when you need to integrate with ServiceNow instances to manage workflows, perform CRUD operations, and synchronize data across tables. It solves problems related to workflow automation, data consistency, and instance management by providing a metadata-driven interface for AI assistants. Ideal for use cases requiring multi-instance support, automatic schema discovery, and optimized tool generation for efficient ServiceNow interactions.

Canonical page: https://skillsregistry.net/skills/happy-technologies-servicenow  
JSON: https://api.skillsregistry.net/v1/skills/happy-technologies-servicenow

## Description

Enables AI assistants to interact with ServiceNow instances through a metadata-driven architecture. Supports multiple ServiceNow instances simultaneously with automatic schema discovery and optimized tool generation. Provides comprehensive CRUD operations, batch processing, workflow management, and script synchronization across ServiceNow tables.

## Trust

- **Trust score (0–1):** 0.40
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/happy-technologies-servicenow)
- **Repository:** <https://github.com/happy-technologies-llc/happy-platform-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": "happy-technologies-servicenow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/happy-technologies-servicenow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/happy-technologies-servicenow/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
