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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.

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LlamaIndex

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.

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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.

Setup guide

Set up Erply ERP & POS MCP in LlamaIndex

Prerequisites

  • Python 3.10+ installed
  • llama-index-tools-mcp package
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install dependencies

    Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.

  2. 2

    Connect with BasicMCPClient

    Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.

  3. 3

    Convert to LlamaIndex tools

    Call mcp_tool_spec.to_tool_list_async() to convert all Erply ERP & POS MCP tools into native FunctionTool objects that any LlamaIndex agent can use.

  4. 4

    Run with any LLM

    Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py
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

The MCP tools fetch the raw data from the ERP, which LlamaIndex then converts into vector embeddings. This allows for semantic retrieval during your query process.
It integrates as a standard tool spec. You simply include the Erply tools in your agent's tool list to make the data available for indexing.
Yes, the tools allow you to pull lists of products or customers, which are then indexed for fast, semantic search across your entire retail account.
Data is processed ephemerally within the Vinkius sandbox. Only the specific results you index are stored in your local vector database.
The server indexes product attributes, customer contact details, and transaction histories. These are converted into encrypted vectors for your local search operations.

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