LeadSquared MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect LeadSquared through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="LeadSquared Assistant",
instructions=(
"You help users interact with LeadSquared. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from LeadSquared"
)
print(result.final_output)
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.
The OpenAI Agents SDK auto-discovers all 10 tools from LeadSquared through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries LeadSquared, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the LeadSquared MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from LeadSquared
Why Use OpenAI Agents SDK with the LeadSquared MCP Server
OpenAI Agents SDK provides unique advantages when paired with LeadSquared through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
LeadSquared + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the LeadSquared MCP Server delivers measurable value.
Automated workflows: build agents that query LeadSquared, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries LeadSquared, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through LeadSquared tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query LeadSquared to resolve tickets, look up records, and update statuses without human intervention
LeadSquared MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect LeadSquared to OpenAI Agents SDK 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK
Common issues when connecting LeadSquared to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
LeadSquared + OpenAI Agents SDK FAQ
Common questions about integrating LeadSquared MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
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 OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.