Bring Enterprise Search
to Vercel AI SDK
Create your Vinkius account to connect Lucidworks Fusion (AI Search & Discovery) to Vercel AI SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the Lucidworks Fusion (AI Search & Discovery) MCP Server?
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
- Subscribe to this server
- Enter your Lucidworks Host URL and API Token
- 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
Built-in capabilities (10)
Irreversibly vaporize explicit validations extracting rich Churn flags
Enumerate explicitly attached structured rules exporting active Billing
Identify precise active arrays spanning native Hold parsing
Identify precise active arrays spanning native Gateway auth
Dispatch an automated validation check routing explicit Gateway history
` parsing deeply custom JSON logic mapping overriding Solr vectors natively. Inspect deep internal arrays mitigating specific Plan Math
Retrieve explicit Cloud logging tracing explicit Vault limits
Perform structural extraction of properties driving active Account logic
/query` resolving precise AI vector rules matching strict profile logics. Identify bounded CRM records inside the Headless Lucidworks Platform
g "date desc"). Provision a highly-available JSON Payload generating hard Customer bindings
Why Vercel AI SDK?
The Vercel AI SDK gives every Lucidworks Fusion (AI Search & Discovery) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Lucidworks Fusion (AI Search & Discovery) integration everywhere
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Built-in streaming UI primitives let you display Lucidworks Fusion (AI Search & Discovery) tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Lucidworks Fusion (AI Search & Discovery) in Vercel AI SDK
Why run Lucidworks Fusion (AI Search & Discovery) with Vinkius?
The Lucidworks Fusion (AI Search & Discovery) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Lucidworks Fusion (AI Search & Discovery) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lucidworks Fusion (AI Search & Discovery) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lucidworks Fusion (AI Search & Discovery) to Vercel AI SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Lucidworks Fusion (AI Search & Discovery) for Vercel AI SDK
Every request between Vercel AI SDK and Lucidworks Fusion (AI Search & Discovery) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Can my agent help improve search relevance by posting signals?
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.
How do I check which AI models are active in my query pipeline?
The lw.list_query_profiles tool 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 tool by providing a JSON array of your data. Your agent will synchronize these new mappings into your Fusion collection, making the content queryable instantly.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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