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Vinkius
Claude CodeCLI
Why use Lindy (Autonomous AI Employees) MCP Server with Claude Code?

Bring Orchestration
to Claude Code

Create your Vinkius account to connect Lindy (Autonomous AI Employees) to Claude Code and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Cancel RunGet LindyGet RunGet Run LogsList IntegrationsList LindiesList RunsList TriggersList WorkspacesTrigger Lindy
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Lindy (Autonomous AI Employees)

What is the 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.

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

How it works

  1. Subscribe to this server
  2. Enter your Lindy API Token
  3. Start managing your autonomous AI workforce from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Operations Managers — automate repetitive workflows by triggering specialized Lindies and monitoring their execution history through natural conversation
  • Developers — debug autonomous agent logic and inspect reasoning logs directly from your workspace without manual API testing
  • Founders & Leaders — audit AI integrations and monitor the performance of your automated workforce across different team boundaries efficiently

Built-in capabilities (10)

cancel_run

Cancel a running execution dispatching hard stops interrupting trapped context loops

get_lindy

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

get_run

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

get_run_logs

Dump literal LLM reasoning logs isolating a specific run loop

list_integrations

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

list_lindies

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

list_runs

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

list_triggers

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

list_workspaces

List all explicit organizational boundaries structuring isolated Teams

trigger_lindy

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

Why Claude Code?

Claude Code registers Lindy (Autonomous AI Employees) as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where Lindy (Autonomous AI Employees) data drives decisions without human intervention.

  • Single-command setup: claude mcp add registers the server instantly. no config files to edit or applications to restart

  • Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

  • Claude Code runs headlessly, enabling unattended batch processing using Lindy (Autonomous AI Employees) tools in cron jobs or deployment scripts

  • Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

See it in action

Lindy (Autonomous AI Employees) in Claude Code

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run Lindy (Autonomous AI Employees) with Vinkius?

The Lindy (Autonomous AI Employees) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

Lindy (Autonomous AI Employees)
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect Lindy (Autonomous AI Employees) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

Lindy (Autonomous AI Employees) and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect Lindy (Autonomous AI Employees) to Claude Code through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures Lindy (Autonomous AI Employees) for Claude Code

Every request between Claude Code and Lindy (Autonomous AI Employees) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I see exactly how my Lindy made a specific decision?

Yes. Use the get_run_logs tool with a specific Run ID. Your agent will retrieve the literal LLM reasoning loops and step-by-step validations, giving you full transparency into the autonomous agent's logic.

02

How do I trigger an autonomous task through a conversation?

The trigger_lindy tool allows you to start an asynchronous task run. You just need to provide the Lindy ID and a JSON payload defining the inputs for the task. Your agent will fire the job and return a Run ID for status tracking.

03

Can my agent list which third-party apps my Lindies are connected to?

Absolutely. Use the list_integrations tool to retrieve all active third-party app connections. Your agent will report which channels (like Slack, Gmail, or HubSpot) are securely connected to your workspace.

04

How do I add an MCP server to Claude Code?

Run claude mcp add <name> --transport http "<url>" in your terminal. Claude Code registers the server and discovers all tools immediately.

05

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.

06

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

07

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code

08

Connection timeout

Check your internet connection and verify the Edge URL is reachable

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