How to Use the Erply ERP & POS MCP in LlamaIndex
Index your live Erply ERP & POS data into LlamaIndex for semantic search and grounded answers.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Erply ERP & POS MCP to LlamaIndex
Create your Vinkius account to connect Erply ERP & POS 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.
Semantic indexing for Erply ERP & POS
Convert `list_retail_products` output into a searchable knowledge base using LlamaIndex. Your agent performs semantic queries to find items based on descriptions or tags rather than exact IDs. This turns your catalog into a queryable asset. Instead of running rigid filters, you ask natural language questions about your inventory and get answers backed by live data.
Grounded CRM insights in LlamaIndex
Ingest `list_crm_customers` to give your agent a deep understanding of your client base. LlamaIndex indexes these records, allowing the agent to reference customer history during support interactions. Stop relying on hallucinations. The agent pulls the exact customer record from your ERP before formulating a response, ensuring all details are accurate.
Unified retail data knowledge base
Combine `list_retail_price_lists` and sales history into a single vector store. Your agent cross-references promotions with actual sales performance to identify which schemes drive the most traffic. This creates a feedback loop between your pricing strategy and real-world results. You query the index to see how price changes affect specific product movement.
Set up Erply ERP & POS 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 Erply ERP & POS 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 Erply ERP & POS tools.",
)
response = await agent.run("List recent Erply ERP & POS data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Erply ERP & POS. 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.
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Common questions about Erply ERP & POS MCP in LlamaIndex
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