Leal MCP Server for LlamaIndexGive LlamaIndex instant access to 12 tools to Check Leal Status, Get Member, Get Member Balance, and more
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Leal 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 Leal app connector for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 12 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 Leal. "
"You have 12 tools available."
),
)
response = await agent.run(
"What tools are available in Leal?"
)
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 Leal MCP Server
Connect your Leal account to any AI agent and manage customer loyalty operations.
LlamaIndex agents combine Leal tool responses with indexed documents for comprehensive, grounded answers. Connect 12 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
- Member Management — List members and view detailed profiles with tiers
- Points Tracking — Check balances and transaction history per member
- Segmentation — Browse and inspect customer segments
- Rewards — View configured reward options
- Campaigns — List marketing campaigns with metrics
- Store Network — View enrolled store locations
The Leal MCP Server exposes 12 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 12 Leal tools available for LlamaIndex
When LlamaIndex connects to Leal through Vinkius, your AI agent gets direct access to every tool listed below — spanning loyalty-program, cashback, customer-segmentation, 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.
Verify API connectivity
Get member profile
Get points balance
Get member transactions
Get segment details
Get store details
List marketing campaigns
List loyalty members
List available rewards
List customer segments
List stores
List all transactions
Connect Leal to LlamaIndex via MCP
Follow these steps to wire Leal 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 Leal MCP Server
LlamaIndex provides unique advantages when paired with Leal through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Leal tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Leal tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Leal, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Leal tools were called, what data was returned, and how it influenced the final answer
Leal + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Leal MCP Server delivers measurable value.
Hybrid search: combine Leal real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Leal 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 Leal for fresh data
Analytical workflows: chain Leal queries with LlamaIndex's data connectors to build multi-source analytical reports
Example Prompts for Leal in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Leal immediately.
"List all loyalty members."
"Check points balance for member mbr_1029."
"Show all available rewards."
Troubleshooting Leal MCP Server with LlamaIndex
Common issues when connecting Leal to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpLeal + LlamaIndex FAQ
Common questions about integrating Leal MCP Server with LlamaIndex.