ServiceNow MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ServiceNow through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MultiServerMCPClient({
"servicenow": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using ServiceNow, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with ServiceNow through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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 LangChain 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 LangChain via MCP
Follow these steps to integrate the ServiceNow MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 10 tools from ServiceNow via MCP
Why Use LangChain with the ServiceNow MCP Server
LangChain provides unique advantages when paired with ServiceNow through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ServiceNow MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ServiceNow queries for multi-turn workflows
ServiceNow + LangChain Use Cases
Practical scenarios where LangChain combined with the ServiceNow MCP Server delivers measurable value.
RAG with live data: combine ServiceNow tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ServiceNow, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ServiceNow tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ServiceNow tool call, measure latency, and optimize your agent's performance
ServiceNow MCP Tools for LangChain (10)
These 10 tools become available when you connect ServiceNow to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting ServiceNow to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersServiceNow + LangChain FAQ
Common questions about integrating ServiceNow MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.