Lucidworks Fusion (AI Search & Discovery) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lucidworks Fusion (AI Search & Discovery) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Lucidworks Fusion (AI Search & Discovery) Assistant",
instructions=(
"You help users interact with Lucidworks Fusion (AI Search & Discovery). "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Lucidworks Fusion (AI Search & Discovery)"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 10 tools from Lucidworks Fusion (AI Search & Discovery) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Lucidworks Fusion (AI Search & Discovery), another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the Lucidworks Fusion (AI Search & Discovery) MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Lucidworks Fusion (AI Search & Discovery)
Why Use OpenAI Agents SDK with the Lucidworks Fusion (AI Search & Discovery) MCP Server
OpenAI Agents SDK provides unique advantages when paired with Lucidworks Fusion (AI Search & Discovery) through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Lucidworks Fusion (AI Search & Discovery) + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Lucidworks Fusion (AI Search & Discovery) MCP Server delivers measurable value.
Automated workflows: build agents that query Lucidworks Fusion (AI Search & Discovery), process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Lucidworks Fusion (AI Search & Discovery), another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Lucidworks Fusion (AI Search & Discovery) tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Lucidworks Fusion (AI Search & Discovery) to resolve tickets, look up records, and update statuses without human intervention
Lucidworks Fusion (AI Search & Discovery) MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Lucidworks Fusion (AI Search & Discovery) to OpenAI Agents SDK via MCP:
lw.index_documents
Irreversibly vaporize explicit validations extracting rich Churn flags
lw.list_collections
Enumerate explicitly attached structured rules exporting active Billing
lw.list_index_profiles
Identify precise active arrays spanning native Hold parsing
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.post_custom_query
` parsing deeply custom JSON logic mapping overriding Solr vectors natively. Inspect deep internal arrays mitigating specific Plan Math
lw.post_signal
Retrieve explicit Cloud logging tracing explicit Vault limits
lw.query_filtered
Perform structural extraction of properties driving active Account logic
lw.query_search
/query` resolving precise AI vector rules matching strict profile logics. Identify bounded CRM records inside the Headless Lucidworks Platform
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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lucidworks Fusion (AI Search & Discovery) immediately.
"Search the 'Support' app for 'password reset' using the 'default' profile"
"List all active ML training jobs for the 'Commerce' application"
"Post a signal: user clicked on doc ID 'doc-987' in the 'Support' app"
Troubleshooting Lucidworks Fusion (AI Search & Discovery) MCP Server with OpenAI Agents SDK
Common issues when connecting Lucidworks Fusion (AI Search & Discovery) to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Lucidworks Fusion (AI Search & Discovery) + OpenAI Agents SDK FAQ
Common questions about integrating Lucidworks Fusion (AI Search & Discovery) MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Lucidworks Fusion (AI Search & Discovery) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Lucidworks Fusion (AI Search & Discovery) to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.