3,400+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect AntEater through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The AntEater app connector for Mastra AI 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 { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "anteater": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "AntEater Agent",
    instructions:
      "You help users interact with AntEater " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with AntEater?"
  );
  console.log(result.text);
}

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.

Mastra's agent abstraction provides a clean separation between LLM logic and AntEater tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI

When Mastra AI 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 Mastra AI via MCP

Follow these steps to wire AntEater into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

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

Explore tools

Mastra discovers 10 tools from AntEater via MCP

Why Use Mastra AI with the AntEater MCP Server

Mastra AI provides unique advantages when paired with AntEater through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add AntEater without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every AntEater tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

AntEater + Mastra AI Use Cases

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

01

Automated workflows: build multi-step agents that query AntEater, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed AntEater as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query AntEater on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using AntEater tools alongside other MCP servers

Example Prompts for AntEater in Mastra AI

Ready-to-use prompts you can give your Mastra AI 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 Mastra AI

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

01

createMCPClient not exported

Install: npm install @mastra/mcp

AntEater + Mastra AI FAQ

Common questions about integrating AntEater MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.