Zentitle2 MCP Server for LlamaIndexGive LlamaIndex instant access to 11 tools to Create Activation Code, Create Customer, Create Entitlement, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Zentitle2 as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
Ask AI about this App Connector for LlamaIndex
The Zentitle2 app connector for LlamaIndex is a standout in the Developer Tools category — giving your AI agent 11 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Zentitle2. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in Zentitle2?"
)
print(response)
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 Zentitle2 MCP Server
Connect your Zentitle2 licensing account to any AI agent and simplify how you provision software, manage customer rights, and track activation codes through natural conversation.
LlamaIndex agents combine Zentitle2 tool responses with indexed documents for comprehensive, grounded answers. Connect 11 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
What you can do
- Customer Management — List and create customer records to organize your user base.
- Entitlement Provisioning — Grant and manage software rights (licenses) to specific customers for your products.
- Activation Logic — List and generate new activation codes to facilitate software deployment.
- Product Catalog — Browse your licensed products and features to understand your offering.
- Management Overview — Retrieve account metadata and monitor your licensing operations in real-time.
The Zentitle2 MCP Server exposes 11 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 11 Zentitle2 tools available for LlamaIndex
When LlamaIndex connects to Zentitle2 through Vinkius, your AI agent gets direct access to every tool listed below — spanning software-licensing, entitlement-management, feature-gating, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Generate a new activation code
Create a new customer in Zentitle2
Provision a new entitlement
Get details of an activation code
Get details of a specific customer
Get details of a specific entitlement
Get management account information
List activation codes
List Zentitle2 customers
List licensing entitlements
List licensed products
Connect Zentitle2 to LlamaIndex via MCP
Follow these steps to wire Zentitle2 into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
pip install llama-index-tools-mcp llama-index-llms-openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use LlamaIndex with the Zentitle2 MCP Server
LlamaIndex provides unique advantages when paired with Zentitle2 through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Zentitle2 tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Zentitle2 tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Zentitle2, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Zentitle2 tools were called, what data was returned, and how it influenced the final answer
Zentitle2 + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Zentitle2 MCP Server delivers measurable value.
Hybrid search: combine Zentitle2 real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Zentitle2 to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Zentitle2 for fresh data
Analytical workflows: chain Zentitle2 queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Zentitle2 in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Zentitle2 immediately.
"List all customers registered in Zentitle2."
"Create a new license (entitlement) for product 'P-100' for customer 'C-552'."
"Generate an activation code for entitlement 'ENT-99023'."
Troubleshooting Zentitle2 MCP Server with LlamaIndex
Common issues when connecting Zentitle2 to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpZentitle2 + LlamaIndex FAQ
Common questions about integrating Zentitle2 MCP Server with LlamaIndex.