Version: 1.36.0
Documentation — Installation, deployment, and usage across the API, CLI, MCP, and A2A agent interfaces are maintained in the official documentation.
Servicenow Api is a production-grade Agent and Model Context Protocol (MCP) server designed to interface directly with Python ServiceNow API Wrapper.
- 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.
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.
This server utilizes dynamic Action-Routed tools to optimize token overhead and maximize IDE compatibility.
| 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_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.
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
--toolsor--toolsets(or their disabled counterparts--disabled-toolsand--disabled-toolsets) during startup. - Environment Variables: Define standard environment variables:
MCP_ENABLED_TOOLS/MCP_DISABLED_TOOLSMCP_ENABLED_TAGS/MCP_DISABLED_TAGS
- HTTP SSE Request Headers: Pass custom headers during transport initialization:
x-mcp-enabled-tools/x-mcp-disabled-toolsx-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.
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"
}
}
}
}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:latestservicenow-api can also run as a local container (Docker / Podman / uv) or be
consumed from a remote deployment. The
Deployment guide has full, copy-paste
mcp_config.json for all four transports — stdio, streamable-http,
local container / uv, and remote URL:
- Local container / uv — launch the server from
mcp_config.jsonviauvx,docker run, orpodman run, or point at a local streamable-http container byurl. - Remote URL — connect to a server deployed behind Caddy at
http://servicenow-mcp.arpa/mcpusing the"url"key.
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.
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-4oThe 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.
Built directly upon the enterprise-ready agent-utilities core, standard security parameters are fully supported:
- Eunomia Policies: Fine-grained, policy-driven tool authorization. Supports
none, localembedded(mcp_policies.json), or centralizedremotemodes. - 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.
| 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 |
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]The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.
| Page | Contents |
|---|---|
| Installation | pip, source, extras, prebuilt Docker image |
| Deployment | run the MCP and agent servers, Compose, Caddy + Technitium, env config |
| Usage | the MCP tools, the Api client, the command line |
| Overview | the standardized agent-package pattern and MCP configuration |
| Concepts | concept registry (CONCEPT:SNOW-*) |
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