Freshsales MCP Server for LangChain 12 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Freshsales 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({
"freshsales": {
"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 Freshsales, 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 Freshsales MCP Server
Connect your Freshsales account to any AI agent to automate your sales CRM operations through the Model Context Protocol (MCP). Freshsales is a powerful sales CRM that provides a 360-degree view of your customers. This MCP server enables you to track active deals, manage lead data, and retrieve detailed contact profiles directly through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Freshsales through native MCP adapters. Connect 12 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.
Key Features
- Lead & Contact Oversight — List all leads and contacts, fetch detailed profiles, and create new leads instantly to keep your pipeline full.
- Deal Management — Access your sales opportunities, monitor deal stages, and retrieve detailed metadata to track revenue.
- Account Discovery — List and search for company accounts to maintain full context of your B2B relationships.
- Task & Appointment Tracking — Monitor scheduled meetings and pending sales tasks to ensure no follow-up is missed.
- Sales Team Insights — List all CRM users and sales representatives to understand territory assignments and workloads.
- Real-time Synchronization — Keep your sales data accessible to your AI assistant without leaving your primary workspace.
The Freshsales MCP Server exposes 12 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 Freshsales to LangChain via MCP
Follow these steps to integrate the Freshsales 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 12 tools from Freshsales via MCP
Why Use LangChain with the Freshsales MCP Server
LangChain provides unique advantages when paired with Freshsales through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine Freshsales 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 Freshsales queries for multi-turn workflows
Freshsales + LangChain Use Cases
Practical scenarios where LangChain combined with the Freshsales MCP Server delivers measurable value.
RAG with live data: combine Freshsales tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Freshsales, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Freshsales tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Freshsales tool call, measure latency, and optimize your agent's performance
Freshsales MCP Tools for LangChain (12)
These 12 tools become available when you connect Freshsales to LangChain via MCP:
create_crm_lead
Create a new lead
get_account_details
Get account metadata
get_contact_metadata
Get contact details
get_deal_details
Get deal metadata
get_lead_details
Get lead metadata
list_appointments
List scheduled appointments
list_crm_contacts
List CRM contacts
list_crm_deals
List sales deals
list_crm_leads
List CRM leads
list_crm_tasks
List pending tasks
list_crm_users
List CRM users
list_sales_accounts
List CRM accounts
Example Prompts for Freshsales in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Freshsales immediately.
"List my 5 most recent active sales deals."
"Show me the contact details for 'Jane Smith'."
"Create a new lead for 'John Doe' (johndoe@email.com)."
Troubleshooting Freshsales MCP Server with LangChain
Common issues when connecting Freshsales to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersFreshsales + LangChain FAQ
Common questions about integrating Freshsales 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 Freshsales 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 Freshsales to LangChain
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.
