ServiceNow MCP Server

@divyashah0510

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT license

トランスポート

stdio

作者

divyashah0510

ServiceNow MCP Server について

概要はまだありません

ServiceNow MCP Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ServiceNow MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is ServiceNow MCP Server?

The ServiceNow MCP Server is a Model Context Protocol integration that enables AI models to interact directly with ServiceNow instances. It provides a set of tools for automating incident management, knowledge base article creation, record producer setup, and other common ServiceNow operations. This server is intended for developers building AI-powered workflows that require read/write access to ServiceNow data.

How to use ServiceNow MCP Server?

Configure environment variables (SERVICENOW_INSTANCE, SERVICENOW_USERNAME, SERVICENOW_PASSWORD, optional GEMINI_API_KEY) in a .env file, install dependencies with pip install -e ., then start the server using mcp install <file_name>.py. The server exposes MCP tools such as create_incident, create_kb_article, and create_record_producer.

Key features of ServiceNow MCP Server

Direct integration with any ServiceNow instance
Supports creating incidents, KB articles, client scripts, business rules, SLA definitions, record producers, and variable sets
Environment‑based secure credential management
Built on FastAPI for high‑performance async operations
Optional Gemini API key for AI capabilities

Use cases of ServiceNow MCP Server

Automatically create ServiceNow incidents from AI‑powered chat or alerts
Generate knowledge base articles through natural language prompts
Set up record producers with custom form fields and server‑side scripting
Create reusable variable sets for catalog items across multiple services
Let AI agents manage business rules, SLA definitions, and client scripts

よくある質問

What distinguishes this server from direct ServiceNow API calls?

This server wraps ServiceNow REST API operations as MCP tools, making them natively available to any MCP‑compatible AI client. It handles authentication and error handling internally so AI models can focus on the task.

What runtime and dependencies are required?

Python 3.12 or higher, a ServiceNow instance with API access, valid credentials, and the FastAPI and uvicorn libraries.

Where does the server store credentials and data?

Credentials are read from a `.env` file (never hardcoded). All operational data remains in your ServiceNow instance; the server uses the instance’s REST API to create and read data.

How does authentication and transport work?

Authentication uses username/password from environment variables. The server runs as a FastAPI application over HTTP (typically stdio for MCP clients, but FastAPI enables standard HTTP transport if needed). An optional Gemini API key is used only for AI features.

Can I add new ServiceNow operations?

Yes. Add a new async function in `servicenow.py`, decorate it with `@mcp.tool()`, include proper documentation and error handling, then test the new tool.

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