Bring Ticket Management
to LlamaIndex
Create your Vinkius account to connect Odoo Helpdesk to LlamaIndex and start using all 7 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
Compatible with every major AI agent and IDE
What is the Odoo Helpdesk MCP Server?
Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.
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
Who is this for?
- Sales Teams — CRM pipeline at your fingertips through AI
- Account Managers — Quick access to contact and company information
- Operations — Monitor sales orders without switching screens
- Odoo Administrators — Query any module through natural conversation
Built-in capabilities (7)
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
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
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
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)
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
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
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
Why LlamaIndex?
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.
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Data-first architecture: LlamaIndex agents combine Odoo Helpdesk tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Odoo Helpdesk tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Odoo Helpdesk, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Odoo Helpdesk tools were called, what data was returned, and how it influenced the final answer
Odoo Helpdesk in LlamaIndex
Why run Odoo Helpdesk with Vinkius?
The Odoo Helpdesk connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 7 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.




Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Odoo Helpdesk using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Odoo Helpdesk and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Odoo Helpdesk to LlamaIndex through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Odoo Helpdesk for LlamaIndex
Every request between LlamaIndex and Odoo Helpdesk is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
Which Odoo versions are supported?
This server uses the JSON-RPC protocol, which is compatible with Odoo 14, 15, 16, 17, and 18. Both Odoo Community and Enterprise editions are supported.
Does it work with Odoo.com (SaaS)?
Yes! Works with both Odoo.com hosted instances and self-hosted Odoo servers. Just provide your instance URL and API key.
How do I generate an API Key?
Go to Settings → Users → select your user → API Keys tab → New API Key. Give it a descriptive name and copy the generated key.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Odoo Helpdesk tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp
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