Compatible with every major AI agent and IDE
Count records on ServiceNow
Useful for dashboards and metrics without fetching full records. Get record count from a ServiceNow table
Create record on ServiceNow
Provide fields as JSON string. Common tables: incident, change_request, sc_request, problem. Create a new record in any ServiceNow table
Delete record on ServiceNow
This action is irreversible. Delete a ServiceNow record
Get record on ServiceNow
Returns all fields. Get a single ServiceNow record by sys_id
List change requests on ServiceNow
Filter by state, risk, type. Example: risk=high^state=new List change requests
List incidents on ServiceNow
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 on ServiceNow
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 on ServiceNow
). Use SysParm encoded query syntax: field=value^field2=value2. Supports dot-walking for related fields. Query any ServiceNow table with SysParm filters
Search knowledge on ServiceNow
Returns matching articles with KB numbers and descriptions. Search the ServiceNow Knowledge Base
Update record on ServiceNow
Only specify the fields you want to change. Update an existing ServiceNow record
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Is there a risk of the AI "going crazy" and deleting important company data?
No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
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.
Automated Workflows using ServiceNow
Use ServiceNow with any AI agent framework to process, analyze, and mutate data securely via the Model Context Protocol.
itsm & AI Execution
Connect your AI agent to ServiceNow for comprehensive itsm coverage. The integration features standard schemas for reliable industry titans tool execution.
Automating incident management with AI
Connect the ServiceNow server to enable incident management workflows. The integration provides structured schemas for Claude to mutate industry titans data.
ServiceNow. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
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.
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