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AntEater MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Check Anteater Status, Get Contact History, Get Profile, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AntEater through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

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The AntEater app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 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 AntEater, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
AntEater
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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 AntEater MCP Server

Connect your AntEater (by AntEater Analytics) account to any AI agent and take full control of your team activity analysis and automated productivity monitoring through natural conversation.

The Vercel AI SDK gives every AntEater 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

  • Activity Portfolio Orchestration — List and manage all captured team activities (emails, Slack, Jira) programmatically, retrieving detailed behavioral metadata
  • Search & Discovery Intelligence — Programmatically search and retrieve high-fidelity insights from your organization's communication channels to maintain a perfectly coordinated knowledge base
  • Productivity Architecture Monitoring — Access real-time status updates for team workstreams and track time-tracking results directly through your agent
  • Metadata Management — Programmatically retrieve high-fidelity collaboration signals and interaction history to maintain a perfectly coordinated audit trail
  • Operational Monitoring — Verify account-level API connectivity and monitor activity ingestion volume directly through your agent for perfectly coordinated service scaling

The AntEater 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.

All 10 AntEater tools available for Vercel AI SDK

When Vercel AI SDK connects to AntEater through Vinkius, your AI agent gets direct access to every tool listed below — spanning activity-monitoring, behavioral-analytics, team-productivity, 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.

check_anteater_status

Verify AntEater API connectivity

get_contact_history

Get communication history for a contact

get_profile

Get your authenticated user profile

get_user

Get details of a specific team member

get_user_activity

Get activity for a specific team member

list_contacts

List all shared contacts

list_recent_activity

List recent team activity

list_users

List all team members

search_activity

Search team activity across Slack and email

search_contacts

Search contacts by name or company

Connect AntEater to Vercel AI SDK via MCP

Follow these steps to wire AntEater 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 10 tools from AntEater and passes them to the LLM

Why Use Vercel AI SDK with the AntEater MCP Server

Vercel AI SDK provides unique advantages when paired with AntEater 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 AntEater integration everywhere

03

Built-in streaming UI primitives let you display AntEater 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

AntEater + Vercel AI SDK Use Cases

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

01

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

02

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

03

Chatbots with tool use: embed AntEater capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with AntEater through natural language queries

Example Prompts for AntEater in Vercel AI SDK

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

01

"Search for Slack discussions related to 'Project X' from yesterday."

02

"Show the time spent on 'Development' tasks this week."

03

"Check for any new activity ingestion alerts today."

Troubleshooting AntEater MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

AntEater + Vercel AI SDK FAQ

Common questions about integrating AntEater 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.