Odoo Sales MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Odoo Sales as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 Sales. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Odoo Sales?"
)
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 Sales MCP Server
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
LlamaIndex agents combine Odoo Sales tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 Sales MCP Server exposes 8 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 Sales to LlamaIndex via MCP
Follow these steps to integrate the Odoo Sales 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 8 tools from Odoo Sales
Why Use LlamaIndex with the Odoo Sales MCP Server
LlamaIndex provides unique advantages when paired with Odoo Sales through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Odoo Sales tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Odoo Sales tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Odoo Sales, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Odoo Sales tools were called, what data was returned, and how it influenced the final answer
Odoo Sales + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Odoo Sales MCP Server delivers measurable value.
Hybrid search: combine Odoo Sales real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Odoo Sales 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 Sales for fresh data
Analytical workflows: chain Odoo Sales queries with LlamaIndex's data connectors to build multi-source analytical reports
Odoo Sales MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Odoo Sales to LlamaIndex via MCP:
odoo_confirm_order
order, transitioning it from "draft"/"sent" to "sale" state. This triggers downstream operations like delivery order creation and inventory reservation. Use when the user says a quote is approved or wants to confirm an order. Confirm a draft quotation, converting it into an active sales order ready for fulfillment
odoo_create_quotation
order in "draft" state with the specified customer and order lines. The partnerId must be an existing res.partner ID. Lines must be a JSON array where each element has product_id (existing product.template ID), product_uom_qty (quantity), and price_unit (unit price). Example lines: [{"product_id": 5, "product_uom_qty": 2, "price_unit": 100.00}] Create a new quotation for a customer with product lines, quantities, and unit prices
odoo_get_order_lines
order.line records for the given order. Returns each line with product name, quantity, unit price, and subtotal. Use when the user wants to see what products are in an order, verify quantities, or check line-level pricing. Get the individual line items (products, quantities, prices) of a specific sales order
odoo_get_sales_order
order record with all key fields: customer, status, amounts, salesperson, dates. Use after finding an order via list/search to drill down into its details. The ID is the numeric Odoo database ID (not the order number like S00042). Get the complete details of a specific sales order or quotation by its numeric ID
odoo_list_pricelists
pricelist records. Pricelists define pricing rules for different customer segments, currencies, or regions. Returns pricelist name, currency, and whether it is active. Use when the user asks about available pricing tiers or currency-specific pricing. List all configured pricelists in Odoo with their currencies and active status
odoo_list_quotations
order records in "draft" or "sent" state — these are quotations pending customer acceptance. Returns quotation number, customer name, total amount, salesperson, currency, and creation date. Use when the user asks about pending quotes, proposals awaiting approval, or the current quotation pipeline. List all draft and sent quotations in Odoo that have not yet been confirmed as sales orders
odoo_list_sales_orders
order records in "sale" or "done" state — these are confirmed orders being fulfilled or already completed. Returns order number, customer, total/untaxed amounts, salesperson, currency, and order date. Use when the user asks about active orders, confirmed sales, or order fulfillment status. List confirmed and completed sales orders in Odoo with customer, amounts, and fulfillment status
odoo_search_products
template records by name. Returns product name, sale price (list_price), cost price (standard_price), product type (consu/service/product), category, available stock quantity, and internal reference (SKU/code). Use when the user needs to find a product, check prices, or verify stock before creating a quotation. Search the Odoo product catalog by name, returning prices, cost, category, stock, and SKU
Example Prompts for Odoo Sales in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Odoo Sales immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Sales MCP Server with LlamaIndex
Common issues when connecting Odoo Sales to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOdoo Sales + LlamaIndex FAQ
Common questions about integrating Odoo Sales 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 Sales with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 Sales to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.