How to Use the LeafLink MCP in LlamaIndex
Index your LeafLink wholesale data into LlamaIndex for grounded, searchable AI answers.
Works with every AI agent you already use
…and any MCP-compatible client
Connect LeafLink MCP to LlamaIndex
Create your Vinkius account to connect LeafLink to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Ground LlamaIndex in LeafLink data
Turn your wholesale history into a searchable knowledge base. By calling `list_received_orders` and indexing the output, your agent answers questions based on actual sales records. You stop relying on generic LLM knowledge. The agent looks at the data returned by the API to provide precise information about your business.
Query products via LlamaIndex MCP Server
Use the MCP Server to pull product specs into your vector store. The agent runs `list_wholesale_products` to keep your index updated with the latest inventory details. This approach ensures your RAG pipeline uses current catalog data. When you ask about a product, the agent retrieves the exact details from your account.
Build agents with LeafLink context
Combine live API calls with historical documents for smarter agents. The agent uses `get_order_details` to fetch current information and blends it with your saved reports. This makes your agent aware of both immediate status and long-term trends. It creates a unified view of your wholesale operations.
Set up LeafLink MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all LeafLink MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to LeafLink tools.",
)
response = await agent.run("List recent LeafLink data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LeafLink. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about LeafLink MCP in LlamaIndex
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the LeafLink MCP today
We host it, we monitor it, we maintain it. You just paste one token.