Lindy (Autonomous AI Employees) MCP Server for Windsurf 10 tools — connect in under 2 minutes
Windsurf brings agentic AI coding to a purpose-built IDE. Connect Lindy (Autonomous AI Employees) through the Vinkius and Cascade will auto-discover every tool — ask questions, generate code, and act on live data without leaving your editor.
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Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Lindy (Autonomous AI Employees) and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"lindy-autonomous-ai-employees": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Windsurf's Cascade agent chains multiple Lindy (Autonomous AI Employees) tool calls autonomously — query data, analyze results, and generate code in a single agentic session. Paste the Vinkius Edge URL, reload, and all 10 tools are immediately available. Real-time tool feedback appears inline, so you see API responses directly in your editor.
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 Windsurf 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 Windsurf via MCP
Follow these steps to integrate the Lindy (Autonomous AI Employees) MCP Server with Windsurf.
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
Add the server
Paste the JSON configuration above into mcp_config.json
Save and reload
Windsurf will detect the new server automatically
Start using Lindy (Autonomous AI Employees)
Open Cascade and ask: "Using Lindy (Autonomous AI Employees), help me..." — 10 tools available
Why Use Windsurf with the Lindy (Autonomous AI Employees) MCP Server
Windsurf provides unique advantages when paired with Lindy (Autonomous AI Employees) through the Model Context Protocol.
Windsurf's Cascade agent autonomously chains multiple tool calls in sequence, solving complex multi-step tasks without manual intervention
Purpose-built for agentic workflows — Cascade understands context across your entire codebase and integrates MCP tools natively
JSON-based configuration means zero code changes: paste a URL, reload, and all 10 tools are immediately available
Real-time tool feedback is displayed inline, so you see API responses directly in your editor without switching contexts
Lindy (Autonomous AI Employees) + Windsurf Use Cases
Practical scenarios where Windsurf combined with the Lindy (Autonomous AI Employees) MCP Server delivers measurable value.
Automated code generation: ask Cascade to fetch data from Lindy (Autonomous AI Employees) and generate models, types, or handlers based on real API responses
Live debugging: query Lindy (Autonomous AI Employees) tools mid-session to inspect production data while debugging without leaving the editor
Documentation generation: pull schema information from Lindy (Autonomous AI Employees) and have Cascade generate comprehensive API docs automatically
Rapid prototyping: combine Lindy (Autonomous AI Employees) data with Cascade's code generation to scaffold entire features in minutes
Lindy (Autonomous AI Employees) MCP Tools for Windsurf (10)
These 10 tools become available when you connect Lindy (Autonomous AI Employees) to Windsurf via MCP:
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
Example Prompts for Lindy (Autonomous AI Employees) in Windsurf
Ready-to-use prompts you can give your Windsurf agent to start working with Lindy (Autonomous AI Employees) immediately.
"List all active Lindies in my workspace"
"Show me the reasoning logs for the last run of 'Sales-Research-Lindy'"
"What triggers are currently configured for our autonomous agents?"
Troubleshooting Lindy (Autonomous AI Employees) MCP Server with Windsurf
Common issues when connecting Lindy (Autonomous AI Employees) to Windsurf through the Vinkius, and how to resolve them.
Server not connecting
Lindy (Autonomous AI Employees) + Windsurf FAQ
Common questions about integrating Lindy (Autonomous AI Employees) MCP Server with Windsurf.
How does Windsurf discover MCP tools?
mcp_config.json file on startup and connects to each configured server via Streamable HTTP. Tools are listed in the MCP panel and available to Cascade automatically.Can Cascade chain multiple MCP tool calls?
Does Windsurf support multiple MCP servers?
mcp_config.json. Each server's tools appear in the MCP panel and Cascade can use tools from different servers in a single flow.Connect Lindy (Autonomous AI Employees) with your favorite client
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Microsoft's framework for multi-agent collaborative conversations.
Connect Lindy (Autonomous AI Employees) to Windsurf
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.