Lucidworks Fusion (AI Search & Discovery)

Lucidworks Fusion (AI Search & Discovery) MCP Connector for Claude

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Manage AI-powered search via Lucidworks Fusion — execute semantic queries, index documents, and monitor ML training jobs.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner

Connect your Lucidworks Fusion instance to any AI agent and take full control of your enterprise search architecture, ML-powered ranking, and data ingestion through natural conversation.

What you can do

  • Search Orchestration — Execute complex keyword and vector-based queries against specific apps and profiles to retrieve highly relevant documents directly from your agent
  • ML Signal Injection — Post user behavior signals (clicks, conversions) to feed Fusion's machine learning models and improve search relevance automatically
  • Document Indexing — Sync brand new textual mappings or update existing records in your physical search collections to maintain a fresh data index
  • Pipeline Audit — List and inspect query and index profiles to understand exactly how AI models and transformation rules are configured in your routing layers
  • Job Monitoring — Track the status of active ML training and data ingestion batch jobs to ensure your search platform is processing data correctly
  • Collection Management — Enumerate underlying search indices and physical shards to audit data distribution and system health across your Fusion tenant

How it works

  1. Subscribe to this server
  2. Enter your Lucidworks Host URL and API Token
  3. Start optimizing your enterprise search from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Search Engineers — test query profiles and verify indexing results through natural conversation without manual API tools
  • Data Scientists — monitor ML job statuses and verify signal ingestion to ensure ranking models are correctly fine-tuned
  • Digital Experience Teams — audit search results across different apps and profiles to optimize user discovery and engagement
enterprise-searchsemantic-searchmachine-learningvector-searchdata-ingestionsearch-ranking

10 tools expose this connector's capabilities to your AI agent.

lw.list_collections

Enumerate explicitly attached structured rules exporting active Billing

lw.post_custom_query

` parsing deeply custom JSON logic mapping overriding Solr vectors natively. Inspect deep internal arrays mitigating specific Plan Math

lw.query_filtered

Perform structural extraction of properties driving active Account logic

lw.list_index_profiles

Identify precise active arrays spanning native Hold parsing

lw.index_documents

Irreversibly vaporize explicit validations extracting rich Churn flags

lw.list_jobs

Identify precise active arrays spanning native Gateway auth

lw.list_query_profiles

Dispatch an automated validation check routing explicit Gateway history

lw.query_search

/query` resolving precise AI vector rules matching strict profile logics. Identify bounded CRM records inside the Headless Lucidworks Platform

lw.post_signal

Retrieve explicit Cloud logging tracing explicit Vault limits

lw.query_sorted

g "date desc"). Provision a highly-available JSON Payload generating hard Customer bindings

See how to talk to your AI agent using Lucidworks Fusion (AI Search & Discovery).

Search the 'Support' app for 'password reset' using the 'default' profile

Executing search in Fusion… I've retrieved 5 relevant documents. Top result: 'How to reset your corporate password' (Score: 0.95). Other matches include troubleshooting steps and security policies. Would you like to see the full document content?

List all active ML training jobs for the 'Commerce' application

I've identified 2 active jobs for 'Commerce': 1) 'Query-Intent-Model' (Status: Running, 45% complete), 2) 'Click-Re-Ranking' (Status: Waiting). I'll let you know once the intent model training is finished. Would you like to check the index profiles as well?

Post a signal: user clicked on doc ID 'doc-987' in the 'Support' app

Signal posted successfully. I've sent the click event for 'doc-987' to the Fusion signal pipeline for the Support app. This will be used to improve future search results for similar queries.

Yes. Use the `lw.post_signal` tool 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.

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