TaskForce MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 9 tools to Create Taskforce Case, Create Taskforce Lead, Get Taskforce Customer, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TaskForce 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 TaskForce app connector for Vercel AI SDK is a standout in the Sales Automation category — giving your AI agent 9 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 TaskForce, 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 TaskForce MCP Server
Connect your AI agent to TaskForce to natively manage your CRM workflow, customer interactions, and invoicing through natural language commands.
The Vercel AI SDK gives every TaskForce 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
- Lead & Customer Management — Query lists of active leads, fetch detailed customer profiles, and instantly create new lead records on the fly.
- Case Tracking — Read and track support or business cases, and generate new cases directly from your chat interface.
- Financial Overview — Pull real-time lists of pending invoices and active quotes to monitor business performance without opening a dashboard.
The TaskForce 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.
All 9 TaskForce tools available for Vercel AI SDK
When Vercel AI SDK connects to TaskForce through Vinkius, your AI agent gets direct access to every tool listed below — spanning lead-management, case-tracking, invoicing, 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.
Create a new case
Create a new lead
Get customer details
Get lead details
List all cases
List all customers
List all invoices
List all leads
List all quotes
Connect TaskForce to Vercel AI SDK via MCP
Follow these steps to wire TaskForce into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the TaskForce MCP Server
Vercel AI SDK provides unique advantages when paired with TaskForce 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 TaskForce integration everywhere
Built-in streaming UI primitives let you display TaskForce 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
TaskForce + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TaskForce MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TaskForce in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TaskForce tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TaskForce capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TaskForce through natural language queries
Example Prompts for TaskForce in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TaskForce immediately.
"List all active leads in my TaskForce account."
"Create a new lead for John Doe (john@example.com)."
"Fetch the latest invoices and quotes."
Troubleshooting TaskForce MCP Server with Vercel AI SDK
Common issues when connecting TaskForce to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTaskForce + Vercel AI SDK FAQ
Common questions about integrating TaskForce 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.