Lucidworks Fusion (AI Search & Discovery) Connector for AI agents.
10 live capabilities
Manage enterprise search results and ML ranking models through natural conversation.
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Why people use Lucidworks Fusion (AI Search & Discovery)
Lucidworks Fusion for Enterprise Search Ranking
With this Connector, you can handle all those tasks through a single chat window. You can ask your agent to list your active jobs, run a specific filtered query, or push a new document to the index. It turns a multi-step manual process into a single conversation, letting you focus on the strategy of search rather than the mechanics of the capabilities.
What Vinkius changes
You get a conversational interface for managing complex enterprise search infrastructure.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Testing query profiles
A search engineer wants to see how a new query profile handles password reset requests.
- Real-world use case 02
Monitoring ML job status
A data scientist needs to know if the Click-Re-Ranking job is done.
- Real-world use case 03
Updating live content
A content manager needs to add a new support doc.
Complete set · 10capabilities
The complete Lucidworks Fusion (AI Search & Discovery) capability set.
These are the exact actions your AI can choose when you ask it to work with Lucidworks Fusion (AI Search & Discovery).
01—04
4 capabilities in this set.
Part of 10 available through Lucidworks Fusion (AI Search & Discovery).
- 01 Capability
Lw.list collections
View all active search collections and their rules. This helps you audit your data distribution across your tenant.
- 02 Capability
Lw.post custom query
Send custom JSON logic to override default vector mappings. This is useful for specific overrides where standard queries aren't enough.
- 03 Capability
Lw.query filtered
Extract specific properties that drive your account logic. It helps you pinpoint the exact data points influencing your results.
- 04 Capability
Lw.list index profiles
See the active arrays used for parsing your data. This is useful for auditing how your search profiles are structured.
05—07
3 capabilities in this set.
Part of 10 available through Lucidworks Fusion (AI Search & Discovery).
- 05 Capability
Lw.index documents
Add new documents to your search index immediately. It is the fastest way to keep your data current.
- 06 Capability
Lw.list jobs
See the status of all active ML and data ingestion jobs. Use this to keep an eye on your backend processing.
- 07 Capability
Lw.list query profiles
Run an automated check on your query routing history. It helps you verify that your gateway logic is working.
08—10
3 capabilities in this set.
Part of 10 available through Lucidworks Fusion (AI Search & Discovery).
- 08 Capability
Lw.query search
Run a standard search to find specific records. It resolves vector rules against your strict profile logic.
- 09 Capability
Lw.post signal
Send user behavior data like clicks to your search platform. This is how you train your models to be smarter.
- 10 Capability
Lw.query sorted
Fetch a list of records sorted by date or other criteria. Use this to get a clean, ordered JSON payload of your data.
Set up in minutes
One URL. Then ask Lucidworks Fusion (AI Search & Discovery) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Lucidworks Fusion (AI Search & Discovery) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Lucidworks Fusion (AI Search & Discovery), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Lucidworks Fusion (AI Search & Discovery) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Lucidworks Fusion (AI Search & Discovery) URL.
- Step 03
Save and start
Save the connection and enable Lucidworks Fusion (AI Search & Discovery) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"lucidworks-fusion-ai-search-discovery": {
"url": "https://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Lucidworks Fusion (AI Search & Discovery)
Open Agent mode in chat and ask: "Using Lucidworks Fusion (AI Search & Discovery), help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"lucidworks-fusion-ai-search-discovery": {
"url": "https://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Lucidworks Fusion (AI Search & Discovery)
Ask Copilot: "Using Lucidworks Fusion (AI Search & Discovery), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"lucidworks-fusion-ai-search-discovery": {
"url": "https://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Lucidworks Fusion (AI Search & Discovery)
Open Cascade and ask: "Using Lucidworks Fusion (AI Search & Discovery), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"lucidworks-fusion-ai-search-discovery": {
"url": "https://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Lucidworks Fusion (AI Search & Discovery)
Ask Cline: "Using Lucidworks Fusion (AI Search & Discovery), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add lucidworks-fusion-ai-search-discovery --transport http "https://edge.vinkius.com/vk_preview_jD2MOpvp0XAN4LgOxrkdAYw47AZunMSJvOVlZSCX/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Lucidworks Fusion (AI Search & Discovery)
Ask Claude: "Using Lucidworks Fusion (AI Search & Discovery), show me...". 10 tools are ready
Where the request belongs
Work Lucidworks Fusion can move forward.
This is for the search engineers and data scientists who are tired of manually checking ML logs and running repetitive query tests in a clunky UI.
Search Engineer
Uses it on Tuesday afternoons to test different query profiles and see how they handle specific user intents without manual API testing.
Data Scientist
Monitors ML training progress and verifies that user behavior signals are being ingested correctly to improve ranking.
Digital Experience Lead
Audits search results across different apps to ensure the user journey is smooth and discovery is optimized.
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Haystack (deepset Cloud)
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Bring your own AI
Change the model, client or framework. Keep Lucidworks Fusion connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Lucidworks Fusion.
The practical details behind the request, access and result.
What does the Lucidworks Fusion MCP actually do?
It connects your AI agent to your Lucidworks Fusion environment so you can manage search results, monitor ML models, and update your data index using natural language.
Can I use the Lucidworks Fusion MCP to improve my search ranking?
Yes, you can use it to send user behavior signals back to Fusion, which helps your ML models learn from clicks and conversions to improve future results.
How does the Lucidworks Fusion MCP help with data indexing?
It allows your agent to sync new documents or update existing records in your physical collections, keeping your search results fresh without manual entry.
Is the Lucidworks Fusion MCP good for monitoring ML jobs?
It is perfect for that. You can ask your agent to list all active training jobs and see their current status, percentage completion, and any errors in real-time.
Can I audit my search query profiles with Lucidworks Fusion MCP?
Yes, you can use the agent to list and inspect your query profiles to see exactly how your routing rules and transformation logic are configured.
Does the Lucidworks Fusion MCP support semantic search?
It gives your agent the ability to execute complex keyword and vector-based queries against your specific apps and profiles.
Can my agent help improve search relevance by posting signals?
Yes. Use the lw.post_signal capability to feed conversion or click events into Fusion. These signals are used by the machine learning models to identify high-value results and re-rank them for better precision automatically.
How do I check which AI models are active in my query pipeline?
The lw.list_query_profiles capability retrieves all defined profiles in your gateway. Your agent will expose the exact AI models and routing configurations assigned to each profile, helping you audit your search logic.
Can I index new documents directly through a conversation?
Absolutely. Use the lw.index_documents capability by providing a JSON array of your data. Your agent will synchronize these new mappings into your Fusion collection, making the content queryable instantly.
One connection away
Give your agent a direct line to Lucidworks Fusion.
Connect Lucidworks Fusion once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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