Freshsales MCP Server for LangChainGive LangChain instant access to 10 tools to Create Lead, Get Contact, Get Lead, and more
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 App Connector for LangChain
The Freshsales app connector for LangChain 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 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-alternative": {
"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 (Freshworks CRM) account to any AI agent and take full control of your sales pipeline and customer relationship workflows through natural conversation.
LangChain's ecosystem of 500+ components combines seamlessly with Freshsales through native MCP adapters. Connect 10 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.
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 LangChain 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 LangChain
When LangChain 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 LangChain via MCP
Follow these steps to wire Freshsales into LangChain. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install langchain langchain-mcp-adapters langgraph langchain-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
python agent.pyExplore tools
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
Example Prompts for Freshsales in LangChain
Ready-to-use prompts you can give your LangChain 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 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.