Can my agent list both sales deals and support tickets via Freshworks?

Yes. This server provides tools for both. Use 'list_deals' to see your sales pipeline and 'list_tickets' to see helpdesk activity. The agent fetches data from both partitions within your unified Freshworks instance.

How do I check the health of a specific sales account via chat?

Use the 'list_accounts' tool to find the account and then ask for its detailed metrics. Your agent can retrieve hierarchical account limits and associated contact data to help you verify its status natively.

Can I audit agent groups and their queues through the agent?

Absolutely. Use the 'list_groups' tool. Your agent will execute bulk iterations tracking explicitly registered agent grouping configurations, allowing you to monitor how support queues are handled securely.

Freshworks MCP Server for LangChain 9 tools — connect in under 2 minutes

Name: Freshworks
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 9 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Freshworks through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

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({
        "freshworks": {
            "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 Freshworks, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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Ed25519Audit chain

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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 Freshworks MCP Server

Connect your Freshworks account to any AI agent and take full control of your unified sales CRM and customer support workflows through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Freshworks through native MCP adapters. Connect 9 tools via the 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

Unified Ticket Orchestration — Retrieve the global array of all active helpdesk tickets and fetch sub-entry details to view full customer interactions natively
Sales Pipeline Auditing — Extract explicit Deal pipeline records tracking ongoing sales cycles and revenue forecasts inside the Freshworks CRM
Account & Company Management — Identify and manage hierarchical organization records, binding multiple contacts and verifying sales accounts limitlessly
CRM Contact Oversight — Enumerate end-users recorded in the Sales CRM partition and retrieve their profiles and historical interaction metadata synchronousy
Helpdesk Contact Navigation — List official support contacts registered in the Helpdesk partition, linking service histories and previous ticket profiles flawlessy
Agent & Group Management — Identify connected support agents and audit agent grouping configurations handling specific support queues securely
Sales Intelligence — Retrieve detailed metrics for sales accounts and deals to monitor your business growth and customer lifecycle stages natively

The Freshworks MCP Server exposes 9 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 Freshworks to LangChain via MCP

Follow these steps to integrate the Freshworks 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 9 tools from Freshworks via MCP

Why Use LangChain with the Freshworks MCP Server

LangChain provides unique advantages when paired with Freshworks through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine Freshworks 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 Freshworks queries for multi-turn workflows

Freshworks + LangChain Use Cases

Practical scenarios where LangChain combined with the Freshworks MCP Server delivers measurable value.

RAG with live data: combine Freshworks tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Freshworks, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Freshworks tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Freshworks tool call, measure latency, and optimize your agent's performance

Freshworks MCP Tools for LangChain (9)

These 9 tools become available when you connect Freshworks to LangChain via MCP:

get_ticket

Get ticket details

list_accounts

List all sales accounts

list_agents

List all support agents

list_companies

List all companies

list_crm_contacts

List CRM contacts

list_deals

List all sales deals

list_groups

List all agent groups

list_helpdesk_contacts

List helpdesk contacts

list_tickets

List all helpdesk tickets

Example Prompts for Freshworks in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Freshworks immediately.

"Show me my active sales deals in Freshworks"

"List the last 3 support tickets"

"Find CRM contact 'John Smith'"

Troubleshooting Freshworks MCP Server with LangChain

Common issues when connecting Freshworks to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Freshworks + LangChain FAQ

Common questions about integrating Freshworks MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use 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?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.