How to Use the Lindy (Autonomous AI Employees) MCP in Windsurf
Use Windsurf to command your Lindy (Autonomous AI Employees) and chain complex agent tasks across your entire codebase.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Lindy (Autonomous AI Employees) MCP to Windsurf
Create your Vinkius account to connect Lindy (Autonomous AI Employees) to Windsurf and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Chain autonomous tasks directly in Windsurf
Cascade doesn't just read your code; it triggers your agents to work. Use `trigger_lindy` to kick off asynchronous tasks while you focus on architecture. Windsurf reads the output and plans the next move. It handles the heavy lifting of multi-step execution without you needing to baby-sit every single prompt.
Audit agent reasoning inside Windsurf
When an agent acts weird, you need the truth. Use `get_run_logs` to dump the literal reasoning path of a specific execution. This lets you see exactly why a Lindy took a specific path. If it hits a wall, use `cancel_run` to kill the loop immediately.
Manage integrations for your Lindy (Autonomous AI Employees)
Keep track of what your agents can actually touch. Use `list_integrations` to see every connected Slack, Gmail, or third-party app in your workspace. This keeps your security posture tight. You'll know exactly what data flows into your Lindy (Autonomous AI Employees) and what stays behind.
Set up Lindy (Autonomous AI Employees) MCP in Windsurf
Prerequisites
- Windsurf IDE installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP configuration
Click the Cascade assistant icon in the sidebar, then click the hammer icon (🔨) at the top of the panel. Select "Configure" to open
~/.codeium/windsurf/mcp_config.json. - 2
Add the Lindy (Autonomous AI Employees) MCP
Paste the JSON snippet shown on the right into the
mcpServersobject. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Refresh MCPs
Go back to the hammer icon (🔨) in Cascade and click "Refresh". Windsurf will detect the new server. No full restart is needed — the connection is hot-reloaded.
- 4
Verify in Cascade
Start a new Cascade conversation and ask something like "Show my Lindy (Autonomous AI Employees) payment history." If connected, Cascade will call the Lindy (Autonomous AI Employees) tools directly. You will see a green dot next to the server name in the MCP panel.
{
"mcpServers": {
"lindy-autonomous-ai-employees-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Lindy. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Lindy (Autonomous AI Employees) MCP in Windsurf
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Lindy (Autonomous AI Employees) MCP today
We host it, we monitor it, we maintain it. You just paste one token.
