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Python ServiceNow API Wrapper

Project description

Servicenow Api

CLI or API | MCP | Agent

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Version: 1.19.0


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 MISCTOOL True Manage ingest incidents to kg operations.
Flows FLOWSTOOL True Manage workflow to mermaid operations.
Application APPLICATIONTOOL True Manage get application operations.
Cmdb CMDBTOOL True Manage servicenow cmdb operations. Action-routed methods: get_cmdb, delete_cmdb_relation, get_cmdb_instances, get_cmdb_instance, create_cmdb_instance, update_cmdb_instance, patch_cmdb_instance, create_cmdb_relation, ingest_cmdb_data.
Cicd CICDTOOL True Manage servicenow cicd operations. Action-routed methods: batch_install_result, instance_scan_progress, progress, batch_install, batch_rollback, app_repo_install, app_repo_publish, app_repo_rollback, full_scan, point_scan, combo_suite_scan, suite_scan.
Plugins PLUGINSTOOL True Manage servicenow plugins operations. Action-routed methods: activate_plugin, rollback_plugin.
Source Control SOURCE_CONTROLTOOL True Manage servicenow source control operations. Action-routed methods: apply_remote_source_control_changes, import_repository.
Testing TESTINGTOOL True Manage run test suite operations.
Update Sets UPDATE_SETSTOOL True Manage servicenow update sets operations. Action-routed methods: update_set_create, update_set_retrieve, update_set_preview, update_set_commit, update_set_commit_multiple, update_set_back_out.
Batch BATCHTOOL True Manage batch request operations.
Change Management CHANGE_MANAGEMENTTOOL True Manage servicenow change management operations. Action-routed methods: get_change_requests, get_change_request_nextstate, get_change_request_schedule, get_change_request_tasks, get_change_request, get_change_request_ci, get_change_request_conflict, get_standard_change_request_templates, get_change_request_models, get_standard_change_request_model, get_standard_change_request_template, get_change_request_worker, create_change_request, create_change_request_task, create_change_request_ci_association, calculate_standard_change_request_risk, check_change_request_conflict, refresh_change_request_impacted_services, approve_change_request, update_change_request, update_change_request_first_available, update_change_request_task, delete_change_request, delete_change_request_task, delete_change_request_conflict_scan.
Cilifecycle CILIFECYCLETOOL True Manage servicenow cilifecycle operations. Action-routed methods: check_ci_lifecycle_compat_actions, register_ci_lifecycle_operator, unregister_ci_lifecycle_operator.
Devops DEVOPSTOOL True Manage servicenow devops operations. Action-routed methods: check_devops_change_control, register_devops_artifact.
Import Sets IMPORT_SETSTOOL True Manage servicenow import sets operations. Action-routed methods: get_import_set, insert_import_set, insert_multiple_import_sets.
Incidents INCIDENTSTOOL True Manage servicenow incidents operations. Action-routed methods: get_incidents, create_incident.
Knowledge Management KNOWLEDGE_MANAGEMENTTOOL True Manage servicenow knowledge management operations. Action-routed methods: get_knowledge_articles, get_knowledge_article, get_knowledge_article_attachment, get_featured_knowledge_article, get_most_viewed_knowledge_articles.
Table Api TABLE_APITOOL True Manage servicenow table api operations. Action-routed methods: delete_table_record, get_table, get_table_record, patch_table_record, update_table_record, add_table_record.
Auth AUTHTOOL True Manage refresh auth token operations.
Custom Api CUSTOM_APITOOL True Manage api request operations.
Email EMAILTOOL True Manage send email operations.
Data Classification DATA_CLASSIFICATIONTOOL True Manage get data classification operations.
Attachment ATTACHMENTTOOL True Manage servicenow attachment operations. Action-routed methods: get_attachment, upload_attachment, delete_attachment.
Aggregate AGGREGATETOOL True Manage get stats operations.
Activity Subscriptions ACTIVITY_SUBSCRIPTIONSTOOL True Manage get activity subscriptions operations.
Account ACCOUNTTOOL True Manage get account operations.
Hr HRTOOL True Manage get hr profile operations.
Metricbase METRICBASETOOL True Manage metricbase insert operations.
Service Qualification SERVICE_QUALIFICATIONTOOL True Manage servicenow service qualification operations. Action-routed methods: check_service_qualification, get_service_qualification, process_service_qualification_result.
Ppm PPMTOOL True Manage servicenow ppm operations. Action-routed methods: insert_cost_plans, insert_project_tasks.
Product Inventory PRODUCT_INVENTORYTOOL True Manage servicenow product inventory operations. Action-routed methods: get_product_inventory, delete_product_inventory.

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

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

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

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