Odoo Helpdesk 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 Helpdesk as an MCP tool provider through 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 Helpdesk. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in Odoo Helpdesk?"
)
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 Helpdesk MCP Server
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
LlamaIndex agents combine Odoo Helpdesk tool responses with indexed documents for comprehensive, grounded answers. Connect 7 tools through 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 Helpdesk 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 Helpdesk to LlamaIndex via MCP
Follow these steps to integrate the Odoo Helpdesk 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 Helpdesk
Why Use LlamaIndex with the Odoo Helpdesk MCP Server
LlamaIndex provides unique advantages when paired with Odoo Helpdesk through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Odoo Helpdesk tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Odoo Helpdesk tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Odoo Helpdesk, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Odoo Helpdesk tools were called, what data was returned, and how it influenced the final answer
Odoo Helpdesk + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Odoo Helpdesk MCP Server delivers measurable value.
Hybrid search: combine Odoo Helpdesk real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Odoo Helpdesk 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 Helpdesk for fresh data
Analytical workflows: chain Odoo Helpdesk queries with LlamaIndex's data connectors to build multi-source analytical reports
Odoo Helpdesk MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect Odoo Helpdesk to LlamaIndex via MCP:
odoo_create_ticket
ticket record. The name is the ticket subject. Optionally provide the customer email (partner_email), team assignment (team_id from odoo_list_helpdesk_teams), linked customer (partner_id), description, and priority (0=Low, 1=Medium, 2=High, 3=Urgent). The ticket enters the first kanban stage of the assigned team. Use when the user wants to log a support request, report an issue, or create a task for the helpdesk team. Create a new helpdesk ticket in Odoo for a customer issue with subject, email, team, and priority
odoo_list_helpdesk_teams
team records — the support teams that handle tickets (e.g., "Technical Support", "Billing", "Returns"). Returns team name, member count, and whether SLA tracking is enabled. Use to find team IDs before creating tickets, or when the user asks about the support organization structure. List all helpdesk teams in Odoo with member count and SLA configuration status
odoo_list_sla_policies
sla records showing service level agreements. Returns SLA name, team, target stage, and time targets (days and hours). Use when the user asks about response time commitments, resolution deadlines, or SLA compliance metrics. List SLA policies configured in Odoo Helpdesk with target response/resolution times per team and stage
odoo_list_ticket_types
ticket.type records — the classification labels for categorizing tickets. Use when the user asks about available ticket categories or wants to understand how tickets are organized. List ticket type categories used to classify helpdesk tickets in Odoo (e.g., Bug, Feature Request, Question)
odoo_list_tickets
ticket records ordered by creation date. Returns ticket subject, customer name/email, helpdesk team, kanban stage (e.g., New/In Progress/Solved), priority (0=Low, 1=Medium, 2=High, 3=Urgent), assigned agent, and number of active SLA policies. Optionally filter by team ID. Use when the user asks about support queue, open tickets, team workload, or ticket backlog. List helpdesk tickets in Odoo with customer, team, kanban stage, priority, assignee, and SLA status
odoo_search_tickets
ticket records by subject/name. Returns matching tickets with customer, team, stage, priority, and assignee. Use when the user wants to find a specific ticket, look up a customer issue, or locate tickets about a particular topic. Search helpdesk tickets by subject or keyword to find specific customer issues or requests
odoo_update_ticket
ticket record. Use to escalate priority, rename the ticket, reassign to a different agent, or update any writable field. Use when the user wants to modify a ticket that already exists. Update an existing helpdesk ticket — change subject, priority, assignment, or other properties
Example Prompts for Odoo Helpdesk in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Odoo Helpdesk immediately.
"Search for leads from the website"
"Show recent sales orders"
Troubleshooting Odoo Helpdesk MCP Server with LlamaIndex
Common issues when connecting Odoo Helpdesk to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpOdoo Helpdesk + LlamaIndex FAQ
Common questions about integrating Odoo Helpdesk 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 Helpdesk 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 Helpdesk to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.