How to Use the LeadSquared MCP in Mastra AI

Q: How do I connect the LeadSquared MCP Server to Mastra AI?

Add the server to your Mastra client configuration using new MCPClient. Then, list the tools and spread them directly into your agent's tool array.

Q: Can Mastra AI handle human approval before updating LeadSquared?

Yes, you can use the requireToolApproval option in Mastra. This pauses the execution of createopportunity until a manager reviews and approves the deal.

Q: How does the Mastra AI and LeadSquared MCP Server integration handle rate limits?

Mastra uses exponential backoff to retry failed calls to capturelead. This keeps your ingestion pipelines running smoothly even during high-traffic periods.

Build resilient, multi-step LeadSquared sales workflows with Mastra AI agents.

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Connect LeadSquared MCP to Mastra AI

Create your Vinkius account to connect LeadSquared to Mastra AI 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 Mastra AI

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Automate complex lead capture workflows

Sales pipelines break when API calls fail silently. Mastra AI uses its built-in workflow engine to run `capture_lead` and automatically retries the operation if LeadSquared rate limits your request. If the lead is successfully captured, the agent moves to the next logical step without human intervention. Should the contact require immediate attention, the workflow branches to notify your team or schedule an action.

Manage pipelines with Mastra AI conditional branching

Tracking deal stages requires strict logic. When an agent identifies a high-value prospect, it calls `create_opportunity` to log the sales deal. If that call succeeds, the workflow triggers `create_prospect_activity` to log the initial outreach task. Should the opportunity creation fail, Mastra's error handling kicks in. It can send a notification to your system administrator while keeping the lead's profile intact.

Verify sales pipelines using this MCP Server

Keep your sales records clean by running validation steps before updating your CRM. This MCP Server lets your Mastra AI agent run `search_leads` to check for duplicates before creating new profiles. The agent uses `list_activity_types` to ensure it only logs valid action categories. This prevents your database from filling up with inconsistent or broken activity records.

Setup guide

Set up LeadSquared MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All LeadSquared tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "leadsquared-mcp-client",
  servers: {
    "leadsquared-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "LeadSquared Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to LeadSquared tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent LeadSquared transactions"
);
console.log(result.text);

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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 Mastra AI

Add the server to your Mastra client configuration using `new MCPClient`. Then, list the tools and spread them directly into your agent's tool array.

Yes, you can use the `requireToolApproval` option in Mastra. This pauses the execution of `create_opportunity` until a manager reviews and approves the deal.

Mastra uses exponential backoff to retry failed calls to `capture_lead`. This keeps your ingestion pipelines running smoothly even during high-traffic periods.

Yes, you can filter tools during the client initialization step. This prevents agents from modifying opportunities if they only need to read lead details.

No, your API credentials are encrypted and injected strictly at runtime. Your lead details and opportunity values pass through secure, short-lived memory buffers that wipe immediately after execution.

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