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Lucidworks Fusion (AI Search & Discovery) MCP Server for Google ADK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Lucidworks Fusion (AI Search & Discovery) as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Vinkius supports streamable HTTP and SSE.

python
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="lucidworks_fusion_ai_search_discovery_agent",
    instruction=(
        "You help users interact with Lucidworks Fusion (AI Search & Discovery) "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)
Lucidworks Fusion (AI Search & Discovery)
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About 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.

Google ADK natively supports Lucidworks Fusion (AI Search & Discovery) as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

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

The Lucidworks Fusion (AI Search & Discovery) MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lucidworks Fusion (AI Search & Discovery) to Google ADK via MCP

Follow these steps to integrate the Lucidworks Fusion (AI Search & Discovery) MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 10 tools from Lucidworks Fusion (AI Search & Discovery) via MCP

Why Use Google ADK with the Lucidworks Fusion (AI Search & Discovery) MCP Server

Google ADK provides unique advantages when paired with Lucidworks Fusion (AI Search & Discovery) through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Lucidworks Fusion (AI Search & Discovery)

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Lucidworks Fusion (AI Search & Discovery) tools with BigQuery, Vertex AI, and Cloud Functions

Lucidworks Fusion (AI Search & Discovery) + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Lucidworks Fusion (AI Search & Discovery) MCP Server delivers measurable value.

01

Enterprise data agents: ADK agents query Lucidworks Fusion (AI Search & Discovery) and cross-reference results with internal databases for comprehensive analysis

02

Multi-modal workflows: combine Lucidworks Fusion (AI Search & Discovery) tool responses with Gemini's vision and language capabilities in a single agent

03

Automated compliance checks: schedule ADK agents to query Lucidworks Fusion (AI Search & Discovery) regularly and flag policy violations or configuration drift

04

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Lucidworks Fusion (AI Search & Discovery)

Lucidworks Fusion (AI Search & Discovery) MCP Tools for Google ADK (10)

These 10 tools become available when you connect Lucidworks Fusion (AI Search & Discovery) to Google ADK via MCP:

01

lw.index_documents

Irreversibly vaporize explicit validations extracting rich Churn flags

02

lw.list_collections

Enumerate explicitly attached structured rules exporting active Billing

03

lw.list_index_profiles

Identify precise active arrays spanning native Hold parsing

04

lw.list_jobs

Identify precise active arrays spanning native Gateway auth

05

lw.list_query_profiles

Dispatch an automated validation check routing explicit Gateway history

06

lw.post_custom_query

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

07

lw.post_signal

Retrieve explicit Cloud logging tracing explicit Vault limits

08

lw.query_filtered

Perform structural extraction of properties driving active Account logic

09

lw.query_search

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

10

lw.query_sorted

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

Example Prompts for Lucidworks Fusion (AI Search & Discovery) in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Lucidworks Fusion (AI Search & Discovery) immediately.

01

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

02

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

03

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

Troubleshooting Lucidworks Fusion (AI Search & Discovery) MCP Server with Google ADK

Common issues when connecting Lucidworks Fusion (AI Search & Discovery) to Google ADK through the Vinkius, and how to resolve them.

01

McpToolset not found

Update: pip install --upgrade google-adk

Lucidworks Fusion (AI Search & Discovery) + Google ADK FAQ

Common questions about integrating Lucidworks Fusion (AI Search & Discovery) MCP Server with Google ADK.

01

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
02

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
03

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.

Connect Lucidworks Fusion (AI Search & Discovery) to Google ADK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.