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leadtributor.cloud MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add Activity, Check Leadtributor Status, Create Lead, and more

Built by Vinkius GDPR 12 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect leadtributor.cloud 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 App Connector for Vercel AI SDK

The leadtributor.cloud app connector for Vercel AI SDK is a standout in the Erp Operations category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 leadtributor.cloud, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
leadtributor.cloud
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 leadtributor.cloud MCP Server

Connect your leadtributor.cloud account to any AI agent and take full control of your channel lead distribution and automated partner management through natural conversation.

The Vercel AI SDK gives every leadtributor.cloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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 Distribution Orchestration — List and manage all distributed leads programmatically, retrieving detailed partner assignment metadata and acceptance status
  • Partner & Channel Intelligence — Programmatically retrieve directories of channel partners and access complete high-fidelity performance profiles in real-time
  • Conversion Graph Monitoring — Access real-time status updates for lead conversion and track individual partner performance directly through your agent
  • Metadata Management — Programmatically retrieve high-fidelity lead sources and history to maintain a perfectly coordinated audit trail of your channel sales
  • Operational Monitoring — Verify account-level API connectivity and monitor orchestration volume directly through your agent for perfectly coordinated service scaling

The leadtributor.cloud MCP Server exposes 12 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.

All 12 leadtributor.cloud tools available for Vercel AI SDK

When Vercel AI SDK connects to leadtributor.cloud through Vinkius, your AI agent gets direct access to every tool listed below — spanning partner-management, lead-routing, channel-sales, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_activity

Add lead activity

check_leadtributor_status

Verify connectivity

create_lead

Create a lead

get_lead

Get lead details

get_partner

Get partner details

get_partner_stats

Get partner stats

list_activities

List lead activities

list_leads

List leads

list_leads_by_partner

List leads by partner

list_leads_by_status

List leads by status

list_partners

List partners

update_lead

Update a lead

Connect leadtributor.cloud to Vercel AI SDK via MCP

Follow these steps to wire leadtributor.cloud into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 12 tools from leadtributor.cloud and passes them to the LLM

Why Use Vercel AI SDK with the leadtributor.cloud MCP Server

Vercel AI SDK provides unique advantages when paired with leadtributor.cloud through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same leadtributor.cloud integration everywhere

03

Built-in streaming UI primitives let you display leadtributor.cloud tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

leadtributor.cloud + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the leadtributor.cloud MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query leadtributor.cloud in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate leadtributor.cloud tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed leadtributor.cloud capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with leadtributor.cloud through natural language queries

Example Prompts for leadtributor.cloud in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with leadtributor.cloud immediately.

01

"List all leads distributed to partners this week."

02

"Show the conversion status for lead ID 'lead_456'."

03

"Check the performance metrics for 'Partner X'."

Troubleshooting leadtributor.cloud MCP Server with Vercel AI SDK

Common issues when connecting leadtributor.cloud to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

leadtributor.cloud + Vercel AI SDK FAQ

Common questions about integrating leadtributor.cloud MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.