Freshsales MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Create Lead, Get Contact, Get Lead, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Freshsales as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Freshsales app connector for LlamaIndex is a standout in the Sales Automation category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 Freshsales. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Freshsales?"
)
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 Freshsales MCP Server
Connect your Freshsales (Freshworks CRM) account to any AI agent and take full control of your sales pipeline and customer relationship workflows through natural conversation.
LlamaIndex agents combine Freshsales tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through 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
- Lead Orchestration — List and manage new leads programmatically, including retrieving detailed metadata and performing search lookups
- Pipeline Intelligence — Monitor sales deals and their current pipeline stages to track revenue and deal velocity in real-time
- Relationship Management — Access complete profiles for contacts and sales accounts (companies) to maintain a high-fidelity customer database
- Task & Activity Tracking — Monitor pending tasks, appointments, and meetings directly through your agent to coordinate team efforts
- Note Retrieval — Access and retrieve contextual notes associated with any CRM record to provide your agent with the latest background info
The Freshsales MCP Server exposes 10 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.
All 10 Freshsales tools available for LlamaIndex
When LlamaIndex connects to Freshsales through Vinkius, your AI agent gets direct access to every tool listed below — spanning pipeline-management, lead-scoring, crm, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Requires last_name and optionally email. Create a new lead
Get details for a specific contact
Get details for a specific lead
List scheduled appointments
List all Freshsales contacts
List all sales deals
List all Freshsales leads
List CRM notes
List all sales accounts (companies)
List CRM tasks
Connect Freshsales to LlamaIndex via MCP
Follow these steps to wire Freshsales into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Freshsales MCP Server
LlamaIndex provides unique advantages when paired with Freshsales through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Freshsales tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Freshsales tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Freshsales, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Freshsales tools were called, what data was returned, and how it influenced the final answer
Freshsales + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Freshsales MCP Server delivers measurable value.
Hybrid search: combine Freshsales real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Freshsales 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 Freshsales for fresh data
Analytical workflows: chain Freshsales queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Freshsales in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Freshsales immediately.
"List all my new leads in Freshsales."
"Show me the last 5 sales deals and their stages."
"Get details for contact ID '12345'."
Troubleshooting Freshsales MCP Server with LlamaIndex
Common issues when connecting Freshsales to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpFreshsales + LlamaIndex FAQ
Common questions about integrating Freshsales MCP Server with LlamaIndex.