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.

Odoo ERP (Full) MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: Odoo ERP (Full)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to Odoo ERP (Full) through the Vinkius — pass the Edge URL in the `mcps` parameter and every Odoo ERP (Full) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Odoo ERP (Full) Specialist",
    goal="Help users interact with Odoo ERP (Full) effectively",
    backstory=(
        "You are an expert at leveraging Odoo ERP (Full) tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token — get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Odoo ERP (Full) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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About Odoo ERP (Full) MCP Server

Connect Odoo ERP to any AI agent — manage your entire business without switching tabs.

When paired with CrewAI, Odoo ERP (Full) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Odoo ERP (Full) tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

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 ERP (Full) MCP Server exposes 7 tools through the Vinkius. Connect it to CrewAI 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 ERP (Full) to CrewAI via MCP

Follow these steps to integrate the Odoo ERP (Full) MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py — CrewAI auto-discovers 7 tools from Odoo ERP (Full)

Why Use CrewAI with the Odoo ERP (Full) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Odoo ERP (Full) through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles — one agent researches, another analyzes, a third generates reports — each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass the Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Odoo ERP (Full) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Odoo ERP (Full) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Odoo ERP (Full) for raw data, then a second analyst agent cross-references findings and flags anomalies — all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Odoo ERP (Full), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Odoo ERP (Full) tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Odoo ERP (Full) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Odoo ERP (Full) MCP Tools for CrewAI (7)

These 7 tools become available when you connect Odoo ERP (Full) to CrewAI via MCP:

odoo_create_contact

partner record. Set is_company=true to create a company/organization, or false (default) for an individual person. For individuals, you can optionally set parent_id to link them to an existing company. Returns the created partner with its new ID. Create a new contact (person) or company in Odoo with name, email, phone, and optional parent company

odoo_create_lead

lead. Set type to "lead" for unqualified leads or "opportunity" for qualified prospects already in the pipeline. The name field is the lead title (e.g., "Website Redesign - Acme Corp"). partner_name is the company/organization name. Returns the created record with its new ID. Create a new CRM lead or opportunity in Odoo with contact details and expected revenue

odoo_create_note

message of type "comment" with subtype "note", which appears in the chatter/history of the specified record. Provide resModel (e.g., "crm.lead", "sale.order", "res.partner") and resId to attach the note to a specific record. If no resModel/resId is given, creates a standalone note. Use when the user wants to log information, add a comment, or leave a note on any Odoo record. Add a note or internal comment to any Odoo record — leads, contacts, orders, tasks, etc

odoo_list_sales_orders

order records ordered by creation date descending. Returns order number (e.g., S00042), customer name, order state (draft/sent/sale/done/cancel), total amount, assigned salesperson, and order date. Use when the user asks about recent orders, sales activity, or wants a summary of current sales. List the most recent sales orders in Odoo with customer, amount, and status

odoo_search_companies

partner with is_company=true to find company/organization records. Returns company name, email, phone, website, city, and country. Use when the user asks about a company, organization, or account — distinct from individual contacts. Search companies and organizations in Odoo by name

odoo_search_contacts

partner with is_company=false to find individual contacts. Returns name, email, phone, city, country, and parent company. Use when the user asks about a person, wants to find contact info, or needs to look up a customer or partner by name. Search individual contacts (people) in Odoo by name, email, or phone

odoo_search_leads

lead model for leads and opportunities matching the query. Returns id, name, email, phone, pipeline stage, expected revenue, type (lead vs opportunity), and assigned salesperson. Use this when the user wants to find prospects, check pipeline status, or look up a specific lead by name or company. Search CRM leads and opportunities in Odoo by name, company, or keyword

Example Prompts for Odoo ERP (Full) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Odoo ERP (Full) immediately.

"Search for leads from the website"

"Show recent sales orders"

Troubleshooting Odoo ERP (Full) MCP Server with CrewAI

Common issues when connecting Odoo ERP (Full) to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Odoo ERP (Full) + CrewAI FAQ

Common questions about integrating Odoo ERP (Full) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.