How to Use the Lucidworks Fusion (AI Search & Discovery) MCP in Windsurf

Q: Can Windsurf handle complex filtering for Lucidworks Fusion (AI Search & Discovery)?

Yes. You can instruct the agent to use lw.queryfiltered to narrow down results by specific properties. It applies your criteria directly to the active account logic.

Q: Does Lucidworks Fusion (AI Search & Discovery) work with Windsurf to update my index?

It does. You can call lw.indexdocuments via the agent to push updates. This ensures your search index reflects your latest code changes.

Q: Can I monitor my training jobs through the IDE?

Use lw.listjobs to check the progress of your background tasks. It returns the current state of your pipelines, allowing you to catch errors before they affect your search quality.

Windsurf connects directly to your search index, letting Cascade query, index, and monitor your data without leaving the editor.

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Connect Lucidworks Fusion (AI Search & Discovery) MCP to Windsurf

Create your Vinkius account to connect Lucidworks Fusion (AI Search & Discovery) 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.

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Setup Lucidworks Fusion (AI Search & Discovery) with Windsurf

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Autonomous search execution in Windsurf

Cascade uses `lw.query_search` to pull back relevant results based on your current project context. It maps vector rules against your index without you needing to write custom search logic. Once it finds the right data, it handles formatting. You get the search output directly in your workspace, ready for immediate integration into your codebase.

Manage index jobs with the MCP Server

You can trigger `lw.list_jobs` to see exactly what is running on the backend. This gives you a clear view of your ML training status during index updates. Windsurf tracks these status changes automatically. If a job stalls or finishes, Cascade knows what to do next without manual intervention.

Deep document control and indexing

Use `lw.index_documents` to push new content straight into your collections. It handles the heavy lifting of mapping your local files to the remote search schema. This keeps your index in sync with your local development. You control the ingestion flow entirely through the editor interface.

Setup guide

Set up Lucidworks Fusion (AI Search & Discovery) 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 Lucidworks Fusion (AI Search & Discovery) 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 Lucidworks Fusion (AI Search & Discovery) payment history." If connected, Cascade will call the Lucidworks Fusion (AI Search & Discovery) tools directly. You will see a green dot next to the server name in the MCP panel.

mcp_config.json

{
  "mcpServers": {
    "lucidworks-fusion-ai-search-discovery-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Lucidworks Fusion (AI Search & Discovery) MCP in Windsurf

Open the MCP panel and confirm the server is active. Simply ask Cascade to search your collection, and it will trigger `lw.query_search` to return the results you need.

Yes. You can instruct the agent to use `lw.query_filtered` to narrow down results by specific properties. It applies your criteria directly to the active account logic.

It does. You can call `lw.index_documents` via the agent to push updates. This ensures your search index reflects your latest code changes.

The server operates within a strict sandbox. It only touches the collection data you explicitly query or index, ensuring your proprietary information stays within your defined access limits.

Use `lw.list_jobs` to check the progress of your background tasks. It returns the current state of your pipelines, allowing you to catch errors before they affect your search quality.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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