LeadSquared MCP Server for LangChain 10 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect LeadSquared 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({
"leadsquared": {
"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 LeadSquared, 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 LeadSquared MCP Server
Connect your LeadSquared account to any AI agent to automate your sales execution and CRM workflows. This MCP server enables your agent to interact with leads, capture new prospects, track activities, and manage sales opportunities directly.
LangChain's ecosystem of 500+ components combines seamlessly with LeadSquared 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 Management — Search, retrieve, and capture leads while maintaining a clean database with automatic deduplication
- Activity Tracking — List and record interactions like calls, meetings, and emails associated with specific leads
- Opportunity Oversight — Create and monitor sales opportunities and their associated activity histories
- Custom Field Support — Access full profile details and custom attributes for all your CRM entities
- Workflow Automation — Identify activity types and update prospect statuses via natural language commands
The LeadSquared 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.
How to Connect LeadSquared to LangChain via MCP
Follow these steps to integrate the LeadSquared 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 10 tools from LeadSquared via MCP
Why Use LangChain with the LeadSquared MCP Server
LangChain provides unique advantages when paired with LeadSquared through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine LeadSquared 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 LeadSquared queries for multi-turn workflows
LeadSquared + LangChain Use Cases
Practical scenarios where LangChain combined with the LeadSquared MCP Server delivers measurable value.
RAG with live data: combine LeadSquared tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query LeadSquared, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain LeadSquared tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every LeadSquared tool call, measure latency, and optimize your agent's performance
LeadSquared MCP Tools for LangChain (10)
These 10 tools become available when you connect LeadSquared to LangChain via MCP:
capture_lead
Capture or update a lead
create_opportunity
Create a new sales opportunity
create_or_update_lead
Uses email or phone as the matching criteria. Create or update a lead profile
create_prospect_activity
g., call log, email sent) to a lead profile. Record a new activity for a lead
get_lead_details
Get details for a specific lead
list_activity_types
g., Phone Call, Meeting) configured in LeadSquared. List all lead activity types
list_lead_activities
List activities for a specific lead
list_opportunities
List sales opportunities
list_opportunity_activities
List activities for a specific opportunity
search_leads
Search for leads with criteria
Example Prompts for LeadSquared in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with LeadSquared immediately.
"Find a lead with email 'test@example.com' in LeadSquared."
"List all sales opportunities in the pipeline."
"Capture a new lead: Name 'Alice Smith', Email 'alice@corp.com'."
Troubleshooting LeadSquared MCP Server with LangChain
Common issues when connecting LeadSquared to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersLeadSquared + LangChain FAQ
Common questions about integrating LeadSquared 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 LeadSquared 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 LeadSquared to LangChain
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.