LeadSquared MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect LeadSquared through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using LeadSquared, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every LeadSquared tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the LeadSquared MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from LeadSquared and passes them to the LLM
Why Use Vercel AI SDK with the LeadSquared MCP Server
Vercel AI SDK provides unique advantages when paired with LeadSquared through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same LeadSquared integration everywhere
Built-in streaming UI primitives let you display LeadSquared tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
LeadSquared + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the LeadSquared MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query LeadSquared in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate LeadSquared tools and return structured JSON responses to any frontend
Chatbots with tool use: embed LeadSquared capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with LeadSquared through natural language queries
LeadSquared MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect LeadSquared to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting LeadSquared to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLeadSquared + Vercel AI SDK FAQ
Common questions about integrating LeadSquared MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.