ServiceNow MCP Server

The ServiceNow MCP Server transforms a conventional ServiceNow instance into an intelligent, AI‑driven data source. By exposing the full breadth of ServiceNow’s REST API through the Model Context Protocol, Claude and other AI assistants can query, create, update, or delete records with the same ease as they would call a native language model function. This eliminates the need for custom middleware or manual API integration, letting developers focus on building conversational flows rather than plumbing.

At its core, the server handles authentication via Basic, OAuth, or API Key methods, automatically translating these credentials into authenticated ServiceNow requests. Once connected, the MCP exposes a rich set of capabilities: table queries, CRUD operations on any ServiceNow table, execution of server‑side scripts and workflows, and access to the Service Catalog. The catalog features are particularly valuable for automation—an assistant can suggest, create, or modify catalog items while ensuring compliance with business rules and approval processes.

The server supports both stdio and Server‑Sent Events (SSE) transports, giving teams flexibility in how they embed the MCP into their stack. The SSE mode is ideal for web‑based assistants or microservices that require real‑time streaming of responses, while stdio is perfect for local development and debugging. A built‑in debug mode offers verbose logging, making troubleshooting of API calls straightforward.

Real‑world scenarios include incident management automation (auto‑populating tickets from chat), change request handling, knowledge base updates, and even generating dynamic service catalog recommendations based on user context. Developers can chain ServiceNow actions with other MCP servers—such as a database or cloud provider—to create end‑to‑end workflows that span multiple systems without leaving the AI conversation.

What sets this MCP apart is its universal compatibility with any ServiceNow instance that exposes the standard REST endpoints, coupled with a lightweight Python implementation that can run locally or as a scalable web service. This combination delivers rapid, secure integration for AI assistants, empowering organizations to unlock the full potential of their ServiceNow data in conversational interfaces.