Odoo Purchase MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Odoo Purchase as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Odoo Purchase. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Odoo Purchase?"
)
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 Odoo Purchase MCP Server
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
LlamaIndex agents combine Odoo Purchase tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through the 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
- CRM — Search and create leads, track opportunities through your pipeline
- Contacts — Find individual contacts and companies, create new partners
- Sales — List and manage sales orders with full order details
- Notes — Add comments and notes to any record in your Odoo instance
The Odoo Purchase MCP Server exposes 7 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.
How to Connect Odoo Purchase to LlamaIndex via MCP
Follow these steps to integrate the Odoo Purchase MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 7 tools from Odoo Purchase
Why Use LlamaIndex with the Odoo Purchase MCP Server
LlamaIndex provides unique advantages when paired with Odoo Purchase through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Odoo Purchase tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Odoo Purchase tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Odoo Purchase, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Odoo Purchase tools were called, what data was returned, and how it influenced the final answer
Odoo Purchase + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Odoo Purchase MCP Server delivers measurable value.
Hybrid search: combine Odoo Purchase real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Odoo Purchase 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 Odoo Purchase for fresh data
Analytical workflows: chain Odoo Purchase queries with LlamaIndex's data connectors to build multi-source analytical reports
Odoo Purchase MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Odoo Purchase to LlamaIndex via MCP:
odoo_confirm_purchase_order
order, transitioning from "draft" to "purchase" state. This locks the order, notifies the vendor, and creates an incoming receipt (stock.picking) for warehouse processing. Use when the user approves a vendor quote or wants to place the order. Confirm a draft RFQ, converting it into a confirmed purchase order and triggering receipt creation
odoo_create_purchase_order
order in "draft" state (an RFQ). The partnerId must be an existing vendor (res.partner with supplier_rank > 0) — use odoo_search_vendors to find vendor IDs. Lines must be a JSON array: [{"product_id": <id>, "product_qty": <qty>, "price_unit": <cost>}]. Each line also gets an auto-generated description. Create a new purchase order (as a draft RFQ) for a vendor with product lines, quantities, and prices
odoo_get_po_lines
order.line records for the given PO. Returns each line with product name, ordered quantity, unit cost, subtotal, and planned delivery date. Use to inspect what is being purchased, verify pricing, or check delivery schedules per line item. Get the individual line items of a purchase order showing products, quantities, costs, and expected delivery dates
odoo_get_purchase_order
order with all key fields. Use after listing POs to drill into a specific order for vendor details, amounts, and expected receipt dates. Get the complete details of a specific purchase order by its numeric ID
odoo_list_purchase_orders
order records ordered by creation date. Returns PO number, vendor name, state (draft/sent/purchase/done/cancel), total and untaxed amounts, responsible buyer, expected receipt date, and order date. Filter by state to see only draft RFQs, confirmed POs, or completed orders. Use when the user asks about procurement activity, pending orders, or vendor purchases. List purchase orders in Odoo with vendor, amounts, buyer, and current processing status
odoo_list_rfqs
order records in "draft" state only. These are RFQs that need vendor pricing, negotiation, or approval before being confirmed. Use when the user asks specifically about pending RFQs, quotes from vendors, or procurement requests awaiting approval. List all Requests for Quotation (draft purchase orders) that have not yet been confirmed to vendors
odoo_search_vendors
partner records where supplier_rank > 0 — these are partners flagged as vendors/suppliers. Returns vendor name, email, phone, city, and country. Use to find vendor IDs before creating purchase orders, or when the user asks about supplier information. Search for vendors and suppliers in Odoo by name, returning contact details and location
Example Prompts for Odoo Purchase in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Odoo Purchase immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Purchase MCP Server with LlamaIndex
Common issues when connecting Odoo Purchase to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOdoo Purchase + LlamaIndex FAQ
Common questions about integrating Odoo Purchase MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Odoo Purchase with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Odoo Purchase to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.