ServiceNow MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ServiceNow through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ServiceNow "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in ServiceNow?"
)
print(result.data)
asyncio.run(main())
* 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.
Pydantic AI validates every ServiceNow tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the ServiceNow MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from ServiceNow with type-safe schemas
Why Use Pydantic AI with the ServiceNow MCP Server
Pydantic AI provides unique advantages when paired with ServiceNow through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ServiceNow integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ServiceNow connection logic from agent behavior for testable, maintainable code
ServiceNow + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ServiceNow MCP Server delivers measurable value.
Type-safe data pipelines: query ServiceNow with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ServiceNow tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ServiceNow and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ServiceNow responses and write comprehensive agent tests
ServiceNow MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect ServiceNow to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting ServiceNow to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiServiceNow + Pydantic AI FAQ
Common questions about integrating ServiceNow MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect ServiceNow with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect ServiceNow to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.