# ServiceNow FastMCP Server

> ServiceNow FastMCP Server — alenthomas2468-servicenow-mcp-fast. Use this tool when you need to integrate Large Language Models (LLMs) with ServiceNow instances to manage various IT service management tasks, such as incident management and workflow automation. It enables LLMs to interact with ServiceNow via the FastMCP framework, allowing for seamless integration and automation of tasks. This tool is ideal for use cases where automated IT service management and knowledge base article management are required.

Canonical page: https://skillsregistry.net/skills/alenthomas2468-servicenow-mcp-fast  
JSON: https://api.skillsregistry.net/v1/skills/alenthomas2468-servicenow-mcp-fast

## Description

MCP server that enables LLMs to interact with ServiceNow instances for managing incidents, users, stories, workflows, knowledge base articles, and script includes via the FastMCP framework.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cbyxg0dnx3)
- **Repository:** <https://github.com/alenthomas2468/servicenow-mcp-fast>

## 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": "alenthomas2468-servicenow-mcp-fast"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alenthomas2468-servicenow-mcp-fast` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alenthomas2468-servicenow-mcp-fast/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
