servicenow-api

servicenow-api

MCP server enabling interaction with ServiceNow API for managing incidents, CMDB, change management, and other ServiceNow operations via natural language.

Category
Visit Server

README

Servicenow Api

CLI or API | MCP | Agent

PyPI - Version MCP Server PyPI - Downloads GitHub Repo stars GitHub forks GitHub contributors PyPI - License GitHub GitHub last commit (by committer) GitHub pull requests GitHub closed pull requests GitHub issues GitHub top language GitHub language count GitHub repo size GitHub repo file count (file type) PyPI - Wheel PyPI - Implementation

Version: 1.28.2


Overview

Servicenow Api is a production-grade Agent and Model Context Protocol (MCP) server designed to interface directly with Python ServiceNow API Wrapper.


Key Features

  • Consolidated Action-Routed MCP Tools: Minimizes token overhead and eliminates tool bloat in LLM contexts by grouping methods into optimized, togglable tool modules.
  • Enterprise-Grade Security: Comprehensive support for Eunomia policies, OIDC token delegation, and granular execution context tracking.
  • Integrated Graph Agent: Built-in Pydantic AI agent supporting the Agent Control Protocol (ACP) and standard Web interfaces (AG-UI).
  • Native Telemetry & Tracing: Out-of-the-box OpenTelemetry exports and native Langfuse tracing.

CLI or API

This agent wraps the Python ServiceNow API Wrapper API. You can interact with it programmatically or via its integrated execution entrypoints.

Detailed instructions on how to use the underlying API wrappers, extended schema bindings, and developer SDK references are maintained in docs/index.md.


MCP

This server utilizes dynamic Action-Routed tools to optimize token overhead and maximize IDE compatibility.

Available MCP Tools

Tool Module Toggle Env Var Enabled by Default Description & Nested Methods
Misc MISC_TOOL True Manage ingest incidents to kg operations.
Flows FLOWS_TOOL True Manage servicenow flows operations. Action-routed methods: collect_graph_for_roots, get_flow_metadata, workflow_to_mermaid.
Application APPLICATION_TOOL True Manage servicenow application operations. Action-routed methods: get_application.
Cmdb CMDB_TOOL True Manage servicenow cmdb operations. Action-routed methods: create_cmdb_instance, create_cmdb_relation, delete_cmdb_relation, get_cmdb, get_cmdb_instance, get_cmdb_instances, ingest_cmdb_data, patch_cmdb_instance, update_cmdb_instance.
Cicd CICD_TOOL True Manage servicenow cicd operations. Action-routed methods: app_repo_install, app_repo_publish, app_repo_rollback, batch_install, batch_install_result, batch_rollback, combo_suite_scan, full_scan, instance_scan_progress, point_scan, progress, suite_scan.
Plugins PLUGINS_TOOL True Manage servicenow plugins operations. Action-routed methods: activate_plugin, rollback_plugin.
Source Control SOURCE_CONTROL_TOOL True Manage servicenow source control operations. Action-routed methods: apply_remote_source_control_changes, import_repository.
Testing TESTING_TOOL True Manage servicenow testing operations. Action-routed methods: run_test_suite.
Update Sets UPDATE_SETS_TOOL True Manage servicenow update sets operations. Action-routed methods: update_set_back_out, update_set_commit, update_set_commit_multiple, update_set_create, update_set_preview, update_set_retrieve.
Batch BATCH_TOOL True Manage servicenow batch operations. Action-routed methods: batch_request.
Change Management CHANGE_MANAGEMENT_TOOL True Manage servicenow change management operations. Action-routed methods: approve_change_request, calculate_standard_change_request_risk, check_change_request_conflict, create_change_request, create_change_request_ci_association, create_change_request_task, delete_change_request, delete_change_request_conflict_scan, delete_change_request_task, get_change_request, get_change_request_ci, get_change_request_conflict, get_change_request_models, get_change_request_nextstate, get_change_request_schedule, get_change_request_tasks, get_change_request_worker, get_change_requests, get_standard_change_request_model, get_standard_change_request_template, get_standard_change_request_templates, refresh_change_request_impacted_services, update_change_request, update_change_request_first_available, update_change_request_task.
Cilifecycle CILIFECYCLE_TOOL True Manage servicenow cilifecycle operations. Action-routed methods: add_ci_lifecycle_action, check_ci_lifecycle_compat_actions, check_ci_lifecycle_lease_expired, check_ci_lifecycle_not_allowed_action, check_ci_lifecycle_not_allowed_ops_transition, check_ci_lifecycle_requestor_valid, delete_ci_lifecycle_action, extend_ci_lifecycle_lease, get_ci_lifecycle_active_actions, get_ci_lifecycle_status, register_ci_lifecycle_operator, set_ci_lifecycle_status, unregister_ci_lifecycle_operator.
Devops DEVOPS_TOOL True Manage servicenow devops operations. Action-routed methods: check_devops_change_control, check_devops_step_mapping, get_devops_change_info, get_devops_code_schema, get_devops_onboarding_status, get_devops_orchestration_schema, get_devops_plan_schema, register_devops_artifact.
Import Sets IMPORT_SETS_TOOL True Manage servicenow import sets operations. Action-routed methods: get_import_set, insert_import_set, insert_multiple_import_sets.
Incidents INCIDENTS_TOOL True Manage servicenow incidents operations. Action-routed methods: create_incident, get_incident, get_incidents.
Knowledge Management KNOWLEDGE_MANAGEMENT_TOOL True Manage servicenow knowledge management operations. Action-routed methods: get_featured_knowledge_article, get_knowledge_article, get_knowledge_article_attachment, get_knowledge_articles, get_most_viewed_knowledge_articles.
Table Api TABLE_API_TOOL True Manage servicenow table api operations. Action-routed methods: add_table_record, delete_table_record, get_table, get_table_record, patch_table_record, update_table_record.
Auth AUTH_TOOL True Manage servicenow auth operations. Action-routed methods: refresh_auth_token.
Custom Api CUSTOM_API_TOOL True Manage servicenow custom api operations. Action-routed methods: api_request.
Email EMAIL_TOOL True Manage servicenow email operations. Action-routed methods: send_email.
Data Classification DATA_CLASSIFICATION_TOOL True Manage servicenow data classification operations. Action-routed methods: get_data_classification.
Aggregate AGGREGATE_TOOL True Manage servicenow aggregate operations. Action-routed methods: get_stats.
Activity Subscriptions ACTIVITY_SUBSCRIPTIONS_TOOL True Manage servicenow activity subscriptions operations. Action-routed methods: get_activity_subscriptions.
Account ACCOUNT_TOOL True Manage servicenow account operations. Action-routed methods: get_account.
Hr HR_TOOL True Manage servicenow hr operations. Action-routed methods: get_hr_profile.
Metricbase METRICBASE_TOOL True Manage servicenow metricbase operations. Action-routed methods: metricbase_insert.
Attachment ATTACHMENT_TOOL True Manage servicenow attachment operations. Action-routed methods: delete_attachment, get_attachment, upload_attachment.
Service Qualification SERVICE_QUALIFICATION_TOOL True Manage servicenow service qualification operations. Action-routed methods: check_service_qualification, get_service_qualification, process_service_qualification_result.
Ppm PPM_TOOL True Manage servicenow ppm operations. Action-routed methods: insert_cost_plans, insert_project_tasks.
Product Inventory PRODUCT_INVENTORY_TOOL True Manage servicenow product inventory operations. Action-routed methods: delete_product_inventory, get_product_inventory.

Detailed tool schemas, parameter shapes, and validation constraints are preserved in docs/mcp.md.

Dynamic Tool Selection & Visibility

This MCP server supports dynamic toolset selection and visibility filtering at runtime. This allows you to restrict the set of exposed tools in order to prevent blowing up the LLM's context window.

You can configure tool filtering via multiple input channels:

  • CLI Arguments: Pass --tools or --toolsets (or their disabled counterparts --disabled-tools and --disabled-toolsets) during startup.
  • Environment Variables: Define standard environment variables:
    • MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS
    • MCP_ENABLED_TAGS / MCP_DISABLED_TAGS
  • HTTP SSE Request Headers: Pass custom headers during transport initialization:
    • x-mcp-enabled-tools / x-mcp-disabled-tools
    • x-mcp-enabled-tags / x-mcp-disabled-tags
  • HTTP SSE Request Query Parameters: Append query parameters directly to your transport connection URL:
    • ?tools=tool1,tool2
    • ?tags=tag1

When query strings or parameters are supplied, an LLM-free Knowledge Graph resolution layer (using DynamicToolOrchestrator) matches query intents against known tool tags, names, or descriptions, with safe fallback and automated 24-hour background cache refreshing.


MCP Configuration Examples

stdio Transport (Recommended for local IDEs e.g., Cursor, Claude Desktop)

Configure your IDE's mcp.json to launch the MCP server via uvx:

{
  "mcpServers": {
    "servicenow-api": {
      "command": "uvx",
      "args": [
        "--from",
        "servicenow-api",
        "servicenow-mcp"
      ],
      "env": {
        "SERVICENOW_INSTANCE": "your_servicenow_instance_here",
        "SERVICENOW_USERNAME": "your_servicenow_username_here",
        "SERVICENOW_CLIENT_ID": "your_servicenow_client_id_here",
        "SERVICENOW_SSL_VERIFY": "your_servicenow_ssl_verify_here",
        "DEBUG": "your_debug_here",
        "PYTHONUNBUFFERED": "your_pythonunbuffered_here",
        "SERVICENOW_PASSWORD": "your_servicenow_password_here",
        "SERVICENOW_CLIENT_SECRET": "your_servicenow_client_secret_here"
      }
    }
  }
}

Streamable-HTTP Transport (Recommended for production deployments)

Configure your client's mcp.json to launch the Streamable-HTTP server via uvx with explicit host and port definition:

{
  "mcpServers": {
    "servicenow-api": {
      "command": "uvx",
      "args": [
        "--from",
        "servicenow-api",
        "servicenow-mcp"
      ],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "0.0.0.0",
        "PORT": "8000",
        "SERVICENOW_INSTANCE": "your_servicenow_instance_here",
        "SERVICENOW_USERNAME": "your_servicenow_username_here",
        "SERVICENOW_CLIENT_ID": "your_servicenow_client_id_here",
        "SERVICENOW_SSL_VERIFY": "your_servicenow_ssl_verify_here",
        "DEBUG": "your_debug_here",
        "PYTHONUNBUFFERED": "your_pythonunbuffered_here",
        "SERVICENOW_PASSWORD": "your_servicenow_password_here",
        "SERVICENOW_CLIENT_SECRET": "your_servicenow_client_secret_here"
      }
    }
  }
}

Alternatively, connect to a pre-deployed remote or local Streamable-HTTP instance:

{
  "mcpServers": {
    "servicenow-api": {
      "url": "http://localhost:8000/servicenow-api/mcp"
    }
  }
}

Deploying the Streamable-HTTP server via Docker:

docker run -d \
  --name servicenow-api-mcp \
  -p 8000:8000 \
  -e TRANSPORT=streamable-http \
  -e PORT=8000 \
  -e SERVICENOW_INSTANCE="your_value" \
  -e SERVICENOW_USERNAME="your_value" \
  -e SERVICENOW_CLIENT_ID="your_value" \
  -e SERVICENOW_SSL_VERIFY="your_value" \
  -e DEBUG="your_value" \
  -e PYTHONUNBUFFERED="your_value" \
  -e SERVICENOW_PASSWORD="your_value" \
  -e SERVICENOW_CLIENT_SECRET="your_value" \
  knucklessg1/servicenow-api:latest

Agent

This repository features a fully integrated Pydantic AI Graph Agent. It communicates over the Agent Control Protocol (ACP) and interacts seamlessly with the Agent Web UI (AG-UI) and Terminal interface.

Running the Agent CLI

To start the interactive command-line agent:

# Set credentials
export SERVICENOW_INSTANCE="your_value"
export SERVICENOW_USERNAME="your_value"
export SERVICENOW_CLIENT_ID="your_value"
export SERVICENOW_SSL_VERIFY="your_value"
export DEBUG="your_value"
export PYTHONUNBUFFERED="your_value"
export SERVICENOW_PASSWORD="your_value"
export SERVICENOW_CLIENT_SECRET="your_value"

# Run the agent server
servicenow-agent --provider openai --model-id gpt-4o

Docker Compose Orchestration

The following docker/agent.compose.yml configures the Agent, Web UI, and Terminal Interface together:

version: '3.8'

services:
  servicenow-api-mcp:
    image: knucklessg1/servicenow-api:latest
    container_name: servicenow-api-mcp
    hostname: servicenow-api-mcp
    restart: always
    env_file:
      - ../.env
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=streamable-http
    ports:
      - "8000:8000"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

  servicenow-api-agent:
    image: knucklessg1/servicenow-api:latest
    container_name: servicenow-api-agent
    hostname: servicenow-api-agent
    restart: always
    depends_on:
      - servicenow-api-mcp
    env_file:
      - ../.env
    command: [ "servicenow-agent" ]
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=9004
      - MCP_URL=http://servicenow-api-mcp:8000/mcp
      - PROVIDER=${PROVIDER:-openai}
      - MODEL_ID=${MODEL_ID:-gpt-4o}
      - ENABLE_WEB_UI=True
      - ENABLE_OTEL=True
    ports:
      - "9004:9004"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9004/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

Detailed graph node architecture explanations, custom skill configurations, and agentic trace guides are available in docs/agent.md.


Security & Governance

Built directly upon the enterprise-ready agent-utilities core, standard security parameters are fully supported:

Access Control & Policy Enforcement

  • Eunomia Policies: Fine-grained, policy-driven tool authorization. Supports none, local embedded (mcp_policies.json), or centralized remote modes.
  • OIDC Token Delegation: Compliant with RFC 8693 token exchange for flowing authenticating user credentials from Web UI / ACP → Agent → MCP.
  • Scoped Credentials: Execution context runs restricted to the specific caller identity.

Runtime Security Grid

Feature Functionality Enablement
Tool Guard Sensitivity inspection with human-in-the-loop validation Enabled by default
Prompt Injection Defense Input scanning, repetition monitoring, and recursive loop blocks Enabled by default
Context Safety Guard Stuck-loop detectors and contextual overflow preemptive alerts Enabled by default

Installation

Install the Python package locally:

# Using uv (highly recommended)
uv pip install servicenow-api[all]

# Using standard pip
python -m pip install servicenow-api[all]

Repository Owners

<img width="100%" height="180em" src="https://github-readme-stats.vercel.app/api?username=Knucklessg1&show_icons=true&hide_border=true&&count_private=true&include_all_commits=true" />

GitHub followers GitHub User's stars


Contribute

Contributions are welcome! Please ensure code quality by executing local checks before submitting pull requests:

  • Format code using ruff format .
  • Lint code using ruff check .
  • Validate type-safety with mypy .
  • Execute test suites using pytest

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured