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Lindy (Autonomous AI Employees) MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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: {
      "lindy-autonomous-ai-employees": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

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

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

main();
Lindy (Autonomous AI Employees)
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 Lindy (Autonomous AI Employees) MCP Server

Connect your Lindy.ai account to any AI agent and take full control of your autonomous AI workforce and automated business processes through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Lindy (Autonomous AI Employees) tool infrastructure. Connect 10 tools through the 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

  • Lindy Orchestration — List all custom autonomous assistants (Lindies) built in your workspace and retrieve their core configurations and prompt instructions directly from your agent
  • Task Execution — Trigger specific Lindies to start asynchronous task runs using dynamic JSON payloads to automate complex business workflows
  • Reasoning Audit — Dump literal LLM reasoning logs for specific run loops to understand how your autonomous agents are making decisions and identifying steps
  • Run Monitoring — Track the state of active executions and manage lifecycle controls, including the ability to cancel runs stuck in context loops securely
  • Integration Visibility — Enumerate secure connections to third-party apps like Slack, Gmail, and CRM systems to manage your AI's reach across your software stack
  • Workspace Management — Navigate organizational boundaries and team structures to understand how Lindies are distributed across your company

The Lindy (Autonomous AI Employees) 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.

How to Connect Lindy (Autonomous AI Employees) to Mastra AI via MCP

Follow these steps to integrate the Lindy (Autonomous AI Employees) MCP Server with Mastra AI.

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 Lindy (Autonomous AI Employees) via MCP

Why Use Mastra AI with the Lindy (Autonomous AI Employees) MCP Server

Mastra AI provides unique advantages when paired with Lindy (Autonomous AI Employees) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) 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

Lindy (Autonomous AI Employees) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Lindy (Autonomous AI Employees) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Lindy (Autonomous AI Employees), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Lindy (Autonomous AI Employees) tools alongside other MCP servers

Lindy (Autonomous AI Employees) MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Lindy (Autonomous AI Employees) to Mastra AI via MCP:

01

cancel_run

Cancel a running execution dispatching hard stops interrupting trapped context loops

02

get_lindy

Get configuration mappings including standard tools and prompts for a specific Lindy

03

get_run

Get specific state for a Run blocking on Human input or External APIs

04

get_run_logs

Dump literal LLM reasoning logs isolating a specific run loop

05

list_integrations

List bounded third-party app connections securely connected (e.g Slack, Gmail)

06

list_lindies

List all custom autonomous AI Assistants (Lindies) built on the workspace

07

list_runs

List recent runs validating the full execution graph isolating active Lindy instances

08

list_triggers

List how autonomous AI agents are woken up (Cron, Webhook, API)

09

list_workspaces

List all explicit organizational boundaries structuring isolated Teams

10

trigger_lindy

Trigger a Lindy to start an asynchronous task run parsing a JSON payload

Example Prompts for Lindy (Autonomous AI Employees) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Lindy (Autonomous AI Employees) immediately.

01

"List all active Lindies in my workspace"

02

"Show me the reasoning logs for the last run of 'Sales-Research-Lindy'"

03

"What triggers are currently configured for our autonomous agents?"

Troubleshooting Lindy (Autonomous AI Employees) MCP Server with Mastra AI

Common issues when connecting Lindy (Autonomous AI Employees) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Lindy (Autonomous AI Employees) + Mastra AI FAQ

Common questions about integrating Lindy (Autonomous AI Employees) 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.

Connect Lindy (Autonomous AI Employees) to Mastra AI

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.