Can I query incidents filtered by priority and assignment group?

Yes. Use the `query_table` tool with the `incident` table and SysParm query filters like `priority=1^assignment_group=Network`. Full dot-walking is supported for related fields.

How do I create a change request through the agent?

Use the `create_record` tool with the `change_request` table. Provide key fields like short_description, category, risk, and assignment_group. The agent returns the CHG number immediately.

Can the agent search the knowledge base for solutions?

Absolutely. The `search_knowledge` tool searches across all published knowledge articles using keyword or category filters, returning relevant articles with their KB numbers and resolution steps.

Does it support custom tables beyond the standard ITSM modules?

Yes. The `query_table` tool works with any ServiceNow table — standard or custom (u_ prefixed). Pass the table name and your SysParm filters, and the agent handles pagination and field expansion automatically.

ServiceNow MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: ServiceNow
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to ServiceNow through Vinkius, pass the Edge URL in the `mcps` parameter and every ServiceNow tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ServiceNow Specialist",
    goal="Help users interact with ServiceNow effectively",
    backstory=(
        "You are an expert at leveraging ServiceNow tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ServiceNow "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About ServiceNow MCP Server

Connect your ServiceNow instance to any AI agent and manage your entire IT service lifecycle through natural conversation.

When paired with CrewAI, ServiceNow becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ServiceNow tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Incident Management — Create, update, and resolve incidents. Query open tickets by priority, assignment group, or SLA breach status
Service Requests — Submit and track service catalog requests, view approval chains, and check fulfillment status
Change Management — Create change requests, review CAB approvals, and monitor scheduled change windows
CMDB Queries — Search configuration items, explore CI relationships, and audit asset records across your infrastructure
Knowledge Base — Search and retrieve knowledge articles to help with incident resolution and self-service
User Management — Look up user profiles, group memberships, and role assignments across your organization
Custom Table Queries — Execute SysParm-filtered queries against any ServiceNow table with full dot-walking support

The ServiceNow MCP Server exposes 10 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect ServiceNow to CrewAI via MCP

Follow these steps to integrate the ServiceNow MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from ServiceNow

Why Use CrewAI with the ServiceNow MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ServiceNow through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ServiceNow + CrewAI Use Cases

Practical scenarios where CrewAI combined with the ServiceNow MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries ServiceNow for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ServiceNow, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ServiceNow tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ServiceNow against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ServiceNow MCP Tools for CrewAI (10)

These 10 tools become available when you connect ServiceNow to CrewAI via MCP:

count_records

Useful for dashboards and metrics without fetching full records. Get record count from a ServiceNow table

create_record

Provide fields as JSON string. Common tables: incident, change_request, sc_request, problem. Create a new record in any ServiceNow table

delete_record

This action is irreversible. Delete a ServiceNow record

get_record

Returns all fields. Get a single ServiceNow record by sys_id

list_change_requests

Filter by state, risk, type. Example: risk=high^state=new List change requests

list_incidents

Filter by priority, state, assignment_group, or any field. Example query: priority=1^state=1 (open P1 incidents). List incidents with optional filters

query_cmdb

Common tables: cmdb_ci_server, cmdb_ci_appl, cmdb_ci_db_instance, cmdb_ci_network. Example query: name=PROD-WEB-01 Query ServiceNow CMDB configuration items

query_table

). Use SysParm encoded query syntax: field=value^field2=value2. Supports dot-walking for related fields. Query any ServiceNow table with SysParm filters

search_knowledge

Returns matching articles with KB numbers and descriptions. Search the ServiceNow Knowledge Base

update_record

Only specify the fields you want to change. Update an existing ServiceNow record

Example Prompts for ServiceNow in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with ServiceNow immediately.

"Show me all P1 incidents that are unassigned."

"Create a normal change request for 'Database Upgrade to v15' assigned to the DBA team."

"Search the knowledge base for 'VPN connection issues'."

Troubleshooting ServiceNow MCP Server with CrewAI

Common issues when connecting ServiceNow to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ServiceNow + CrewAI FAQ

Common questions about integrating ServiceNow MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.