How to Use the LeadSquared MCP in OpenAI Agents SDK

Q: How do I register the LeadSquared MCP Server with the OpenAI Agents SDK?

Install openai-agents via pip and configure the MCPServerStreamableHttp transport with your Vinkius endpoint. Pass this server instance inside the mcpservers list when initializing your agent. Your agent will auto-discover all ten tools instantly.

Deploy production-grade LeadSquared automation with the OpenAI Agents SDK and guardrail-validated lead routing.

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Connect LeadSquared MCP to OpenAI Agents SDK

Create your Vinkius account to connect LeadSquared to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup LeadSquared with OpenAI Agents SDK

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Automated Lead Ingestion with OpenAI Agents SDK

This MCP Server lets your OpenAI agents call `capture_lead` or `create_or_update_lead` directly when a prospect interacts with your app. The SDK validates these actions against your guardrails before execution, keeping dirty data out of your pipeline. Your agent instantly inspects existing records with `get_lead_details` to prevent duplicates. If a match exists, it updates the record using email or phone criteria. This keeps your database clean without manual triage.

Real-Time Activity Tracking

Your agent uses `create_prospect_activity` to log calls, emails, or meetings directly to the prospect profile. It maps these events instantly by querying `list_activity_types` first. Trace these operations directly in the OpenAI dashboard. When your agent runs `list_lead_activities` via the MCP connection, you see the exact payload and execution path. This makes debugging activity syncs straightforward.

Context-Aware Opportunity Creation

Move deals forward by letting your agents call `create_opportunity` to spin up new deals the moment a lead meets qualification criteria. It links these deals to the correct contact without human intervention. Agents query `list_opportunities` and `list_opportunity_activities` to check deal status before initiating follow-ups. This prevents embarrassing double-outreach to active prospects.

Setup guide

Set up LeadSquared MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all LeadSquared tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives LeadSquared tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate LeadSquared tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="LeadSquared Agent",
            instructions="You have access to LeadSquared tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeadSquared. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about LeadSquared MCP in OpenAI Agents SDK

Install `openai-agents` via pip and configure the `MCPServerStreamableHttp` transport with your Vinkius endpoint. Pass this server instance inside the `mcp_servers` list when initializing your agent. Your agent will auto-discover all ten tools instantly.

Yes, by combining the guardrails in the SDK with specific tools. Your agent searches for existing profiles using `search_leads` before calling `create_or_update_lead`. This dual-layer check stops duplicate creation.

Every tool execution is tracked in the OpenAI dashboard. You can inspect the exact parameters passed to `create_prospect_activity` or `create_opportunity`. This lets you audit agent actions and monitor your API quota.

Manage tool access directly through your Vinkius dashboard. If you only want your agent to read data, restrict it to `get_lead_details` and `list_opportunities`. This keeps your write permissions secure.

Vinkius runs the server in an isolated, zero-trust sandbox environment. Your LeadSquared API keys, lead emails, and phone numbers are never stored on our servers. All payloads pass through ephemeral memory and vanish after execution.

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