Freshworks MCP Server for LlamaIndex 9 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Freshworks as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Freshworks. "
"You have 9 tools available."
),
)
response = await agent.run(
"What tools are available in Freshworks?"
)
print(response)
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 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.
LlamaIndex agents combine Freshworks tool responses with indexed documents for comprehensive, grounded answers. Connect 9 tools through the Vinkius and query live data alongside vector stores and SQL databases in a single turn — ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Freshworks MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
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 9 tools from Freshworks
Why Use LlamaIndex with the Freshworks MCP Server
LlamaIndex provides unique advantages when paired with Freshworks through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Freshworks tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Freshworks tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Freshworks, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Freshworks tools were called, what data was returned, and how it influenced the final answer
Freshworks + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Freshworks MCP Server delivers measurable value.
Hybrid search: combine Freshworks real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Freshworks to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Freshworks for fresh data
Analytical workflows: chain Freshworks queries with LlamaIndex's data connectors to build multi-source analytical reports
Freshworks MCP Tools for LlamaIndex (9)
These 9 tools become available when you connect Freshworks to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Freshworks to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFreshworks + LlamaIndex FAQ
Common questions about integrating Freshworks MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Freshworks 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 Freshworks to LlamaIndex
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.