ServiceNow MCP Server is a Python MCP server that bridges an AI assistant and a ServiceNow instance, letting the model read data and perform actions through the ServiceNow API. It authenticates with basic credentials, OAuth or an API key, configured through a .env file or environment variables, and it can query records and tables, create, update and delete records, execute scripts and workflows, and inspect and optimize the service catalog. A debug mode is available for troubleshooting. The server runs in the standard stdio mode via python -m servicenow_mcp.cli, or as a web service using Server-Sent Events through the servicenow-mcp-sse command, which binds to 0.0.0.0:8080 by default and exposes an /sse connection endpoint plus a /messages/ endpoint for sending messages; an example shows building the Starlette application directly and serving it with uvicorn. Because the full tool set is large enough to strain clients with tool limits, the server supports tool packages selected through the MCP_TOOL_PACKAGE environment variable and defined in config/tool_packages.yaml. Default packages follow ServiceNow roles: service_desk, catalog_builder, change_coordinator, knowledge_author, platform_developer, system_administrator and agile_management, plus full, which is the default, and none. An invalid value falls back to none with a warning, and a list_tool_packages introspection tool reports the available packages and the active one. Tools cover incident management, service catalog items, categories and variables, catalog optimization recommendations, and change request creation and updates, among other areas. Python 3.11 or newer and access credentials for a ServiceNow instance are required.
https://github.com/echelon-ai-labs/servicenow-mcp
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