Leadfeeder MCP Server for Vercel AI SDK 9 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Leadfeeder through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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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 Leadfeeder, 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 Leadfeeder MCP Server
Connect your Leadfeeder tracking system to an AI agent to analyze high-quality B2B internet traffic. Track precise analytics without using heavy third-party dashboard setups directly in Cursor or Claude.
The Vercel AI SDK gives every Leadfeeder tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 9 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
- Discover Target Leads: Fetch the list of verified companies engaging with your tracking pixel on specific domains.
- Visitor Analytics: Drill into session specifics of organizations interacting behind the scenes.
- Sales Pipeline: Identify key B2B traffic and prioritize new cold email targets or warm follow-ups immediately.
The Leadfeeder MCP Server exposes 9 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 Leadfeeder to Vercel AI SDK via MCP
Follow these steps to integrate the Leadfeeder 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 9 tools from Leadfeeder and passes them to the LLM
Why Use Vercel AI SDK with the Leadfeeder MCP Server
Vercel AI SDK provides unique advantages when paired with Leadfeeder 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 Leadfeeder integration everywhere
Built-in streaming UI primitives let you display Leadfeeder 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
Leadfeeder + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Leadfeeder MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Leadfeeder in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Leadfeeder tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Leadfeeder capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Leadfeeder through natural language queries
Leadfeeder MCP Tools for Vercel AI SDK (9)
These 9 tools become available when you connect Leadfeeder to Vercel AI SDK via MCP:
get_account
Get details for a specific Leadfeeder account
get_custom_feed
Get details for a specific custom feed filter
get_lead
Get details for a specific lead
get_tracking_script
Get the tracking script for the account
list_account_visits
Get aggregate visits data across the entire account
list_accounts
Retrieve a list of accounts from Leadfeeder
list_custom_feeds
Retrieve the custom feeds active within a specific account
list_lead_visits
Get the website visits directly associated with a specific lead
list_leads
Retrieve a list of discovered leads within an account
Example Prompts for Leadfeeder in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Leadfeeder immediately.
"Analyze and list all identified corporate visitors targeting my site."
"Are there any manufacturing sector companies viewing our price points?"
"Highlight repeat prospects viewing documentation sections."
Troubleshooting Leadfeeder MCP Server with Vercel AI SDK
Common issues when connecting Leadfeeder to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpLeadfeeder + Vercel AI SDK FAQ
Common questions about integrating Leadfeeder 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 Leadfeeder 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 Leadfeeder to Vercel AI SDK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.