How to Use the Conduit MCP in Windsurf

Q: How do I configure the Conduit MCP Server in Windsurf?

Open your /.codeium/windsurf/mcpconfig.json file and add the server configuration under the mcpServers key. Alternatively, use the Settings UI under Cascade to connect the MCP Server via Vinkius.

Q: Can Cascade automatically fix a failing Conduit pipeline in Windsurf?

Yes, Cascade can read pipeline errors using getrunstatus and then modify your local code or configuration to resolve the issue. It can then trigger a new run to verify the fix.

Q: How does Windsurf discover new Conduit data sources?

Cascade uses listavailablesources to query the Conduit platform for supported input types. It maps these options against your current setup to suggest new integration paths.

Q: Can I view historical run durations?

Yes. The listworkflowruns tool retrieves the execution history, allowing Cascade to analyze how long past syncs took and flag any performance regressions.

Cascade monitors your Conduit pipelines and triggers sync jobs autonomously in Windsurf.

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Control Conduit pipelines directly inside Windsurf

The `list_workflows` tool lets Cascade inspect your active Conduit data pipelines to see exactly what is running. Cascade grabs this list, maps out the active connectors, and identifies which pipelines need attention without you having to click through a web UI. Once Cascade identifies the pipeline you want to target, it calls `get_workflow` to inspect the source and destination details. This lets your Windsurf agent map your data flow and plan its next moves.

Run and monitor integration jobs on the fly

The `trigger_workflow` tool gives Cascade the power to start your Conduit data syncs whenever your local codebase changes. Windsurf uses this MCP Server to keep your databases aligned after schema updates. After starting a sync, Cascade chains calls to `get_run_status` to watch the pipeline's progress in real-time. You get instant feedback in your Windsurf chat if a node throws an error or runs slow.

Inspect active connector nodes and history

The `list_connections` tool exposes your live data sources and targets to the Windsurf environment. Cascade scans these active connections to verify that your data pipelines are wired up correctly before you push code. When debugging pipeline failures, Cascade uses `list_workflow_runs` to pull the execution history. This lets Windsurf analyze previous run times and error logs to diagnose why a sync failed.

Setup guide

Set up Conduit 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 Conduit MCP

Paste the JSON snippet shown on the right into the mcpServers object. 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 Conduit payment history." If connected, Cascade will call the Conduit tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "conduit-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Conduit MCP in Windsurf

Open your `~/.codeium/windsurf/mcp_config.json` file and add the server configuration under the `mcpServers` key. Alternatively, use the Settings UI under Cascade to connect the MCP Server via Vinkius.

Yes, Cascade can read pipeline errors using `get_run_status` and then modify your local code or configuration to resolve the issue. It can then trigger a new run to verify the fix.

Cascade uses `list_available_sources` to query the Conduit platform for supported input types. It maps these options against your current setup to suggest new integration paths.

Yes. The `list_workflow_runs` tool retrieves the execution history, allowing Cascade to analyze how long past syncs took and flag any performance regressions.

Your integration credentials never leave the secure Vinkius MCP sandbox. Windsurf only receives pipeline configurations, connection states, and workflow execution logs over an encrypted channel, keeping your actual database records safe.

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