How to Use the Freshservice MCP in LangChain

Q: Can LangChain track the performance of Freshservice tool calls?

Yes, LangSmith traces every single execution of tools like createitsmticket or listitassets. You get real-time visibility into latency, input variables, and the exact payloads passing through your chains.

Build multi-step IT support chains with LangChain and the Freshservice MCP Server.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Freshservice MCP to LangChain

Create your Vinkius account to connect Freshservice to LangChain and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Freshservice with LangChain

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-Step Incident Resolution (LangChain)

`list_itsm_tickets` pulls your active queue directly into your LangChain run. Your agent inspects this list, picks the oldest critical ticket, and instantly triggers `get_ticket_details` to analyze the issue. By chaining these tools, you bypass manual triage entirely. `list_it_assets` runs immediately after the queue check to match the serial number of any reported broken laptop. Through LangSmith, you trace every step of this multi-tool execution to see exactly why a decision was made.

Automated Change and Problem Analysis

`list_it_problems` identifies recurring infrastructure failures that your LangChain agent can correlate with open change requests. The agent grabs active issues, queries their history, and executes `list_change_requests` to see if a recent deployment caused the outage. `list_change_requests` executes right after the problem check to see if a recent deployment caused the outage. If a correlation is spotted, the agent calls `create_itsm_ticket` to alert the on-call engineer with the exact details.

Context-Aware Requester Routing

`list_requesters` allows your LangChain pipeline to map incoming support emails to existing user records before routing. Matching the sender's address helps the chain identify who needs help. `get_requester_details` pulls the matching user's profile to check their assigned hardware. Once the profile is established, the agent queries `list_support_agents` to find an available technician with the right expertise.

Setup guide

Set up Freshservice MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Freshservice tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "freshservice-mcp": {
        "transport": "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,
    )
    result = await agent.ainvoke({
        "messages": "List recent Freshservice transactions"
    })
    print(result["messages"][-1].content)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Freshservice. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Freshservice now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Freshservice MCP in LangChain

Start by loading the MCP tools. Your LangChain agent can call `list_itsm_tickets` to find open incidents, then pass the resulting ID straight to `get_ticket_details` in a single run.

Yes, LangSmith traces every single execution of tools like `create_itsm_ticket` or `list_it_assets`. You get real-time visibility into latency, input variables, and the exact payloads passing through your chains.

You use a ReAct agent configuration. The model evaluates the user's prompt, decides whether to query `list_support_agents` or check a status via `check_itsm_status`, and runs the tools in sequence.

Absolutely. You can combine this MCP Server with a database in a single LangChain client instance to coordinate workflows.

All ticket metadata, requester details, and IT asset records remain inside your V8 sandbox. The token for your Freshservice API never leaves the secure Vinkius gateway, keeping your internal IT directory completely isolated.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript