productivitydatabases

Odoo ERP

ivnvxd

by ivnvxd

Seamlessly integrate with Odoo ERP for advanced business record management, automation, and secure data workflows via XM

Connects to Odoo ERP systems via XML-RPC to enable searching, reading, creating, updating, and deleting business records with smart field optimization and comprehensive access controls for business process automation and data analysis workflows.

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Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Works with any Odoo instanceYOLO mode for quick testingSmart field selection optimization

best for

  • / Business analysts working with Odoo ERP data
  • / Automating business process workflows
  • / ERP data analysis and reporting
  • / Custom Odoo integrations and extensions

capabilities

  • / Search and retrieve Odoo records (customers, products, invoices)
  • / Create new business records with field validation
  • / Update existing data with smart field handling
  • / Delete records respecting model permissions
  • / Count records matching specific criteria
  • / Inspect model fields and data structures

what it does

Connects to Odoo ERP systems via XML-RPC to search, read, create, update, and delete business records. Includes smart field optimization and access controls for business process automation.

about

Odoo ERP is a community-built MCP server published by ivnvxd that provides AI assistants with tools and capabilities via the Model Context Protocol. Seamlessly integrate with Odoo ERP for advanced business record management, automation, and secure data workflows via XM It is categorized under productivity, databases.

how to install

You can install Odoo ERP in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MPL-2.0

Odoo ERP is released under the MPL-2.0 license.

readme

MCP Server for Odoo

CI codecov Ruff Checked with ty Python 3.10+ License: MPL 2.0

An MCP server that enables AI assistants like Claude to interact with Odoo ERP systems. Access business data, search records, create new entries, update existing data, and manage your Odoo instance through natural language.

Works with any Odoo instance! Use YOLO mode for quick testing and demos with any standard Odoo installation. For enterprise security, access controls, and production use, install the Odoo MCP module.

Features

  • 🔍 Search and retrieve any Odoo record (customers, products, invoices, etc.)
  • Create new records with field validation and permission checks
  • ✏️ Update existing data with smart field handling
  • 🗑️ Delete records respecting model-level permissions
  • 🔢 Count records matching specific criteria
  • 📋 Inspect model fields to understand data structure
  • 🔐 Secure access with API key or username/password authentication
  • 🎯 Smart pagination for large datasets
  • 🧠 Smart field selection — automatically picks the most relevant fields per model
  • 💬 LLM-optimized output with hierarchical text formatting
  • 🌍 Multi-language support — get responses in your preferred language
  • 🚀 YOLO Mode for quick access with any Odoo instance (no module required)

Installation

Prerequisites

  • Python 3.10 or higher
  • Access to an Odoo instance:
    • Standard mode (production): Version 16.0+ with the Odoo MCP module installed
    • YOLO mode (testing/demos): Any Odoo version with XML-RPC enabled (no module required)

Install UV First

The MCP server runs on your local computer (where Claude Desktop is installed), not on your Odoo server. You need to install UV on your local machine:

<details> <summary>macOS/Linux</summary>
curl -LsSf https://astral.sh/uv/install.sh | sh
</details> <details> <summary>Windows</summary>
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"
</details>

After installation, restart your terminal to ensure UV is in your PATH.

Installing via MCP Settings (Recommended)

Add this configuration to your MCP settings:

{
  "mcpServers": {
    "odoo": {
      "command": "uvx",
      "args": ["mcp-server-odoo"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_API_KEY": "your-api-key-here"
      }
    }
  }
}
<details> <summary>Claude Desktop</summary>

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "odoo": {
      "command": "uvx",
      "args": ["mcp-server-odoo"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_API_KEY": "your-api-key-here",
        "ODOO_DB": "your-database-name"
      }
    }
  }
}
</details> <details> <summary>Claude Code</summary>

Add to .mcp.json in your project root:

{
  "mcpServers": {
    "odoo": {
      "command": "uvx",
      "args": ["mcp-server-odoo"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_API_KEY": "your-api-key-here",
        "ODOO_DB": "your-database-name"
      }
    }
  }
}

Or use the CLI:

claude mcp add odoo \
  --env ODOO_URL=https://your-odoo-instance.com \
  --env ODOO_API_KEY=your-api-key-here \
  --env ODOO_DB=your-database-name \
  -- uvx mcp-server-odoo
</details> <details> <summary>Cursor</summary>

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "odoo": {
      "command": "uvx",
      "args": ["mcp-server-odoo"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_API_KEY": "your-api-key-here",
        "ODOO_DB": "your-database-name"
      }
    }
  }
}
</details> <details> <summary>VS Code (with GitHub Copilot)</summary>

Add to .vscode/mcp.json in your workspace:

{
  "servers": {
    "odoo": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-server-odoo"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_API_KEY": "your-api-key-here",
        "ODOO_DB": "your-database-name"
      }
    }
  }
}

Note: VS Code uses "servers" as the root key, not "mcpServers".

</details> <details> <summary>Windsurf</summary>

Add to ~/.codeium/windsurf/mcp_config.json:

{
  "mcpServers": {
    "odoo": {
      "command": "uvx",
      "args": ["mcp-server-odoo"],
      "env": {
        "ODOO_URL": "https://your-odoo-instance.com",
        "ODOO_API_KEY": "your-api-key-here",
        "ODOO_DB": "your-database-name"
      }
    }
  }
}
</details> <details> <summary>Zed</summary>

Add to ~/.config/zed/settings.json:

{
  "context_servers": {
    "odoo": {
      "command": {
        "path": "uvx",
        "args": ["mcp-server-odoo"],
        "env": {
          "ODOO_URL": "https://your-odoo-instance.com",
          "ODOO_API_KEY": "your-api-key-here",
          "ODOO_DB": "your-database-name"
        }
      }
    }
  }
}
</details>

Alternative Installation Methods

<details> <summary>Using Docker</summary>

Run with Docker — no Python installation required:

{
  "mcpServers": {
    "odoo": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "ODOO_URL=http://host.docker.internal:8069",
        "-e", "ODOO_API_KEY=your-api-key-here",
        "ivnvxd/mcp-server-odoo"
      ]
    }
  }
}

Note: Use host.docker.internal instead of localhost to connect to Odoo running on the host machine.

For HTTP transport:

docker run --rm -p 8000:8000 \
  -e ODOO_URL=http://host.docker.internal:8069 \
  -e ODOO_API_KEY=your-api-key-here \
  ivnvxd/mcp-server-odoo --transport streamable-http --host 0.0.0.0

The image is also available on GHCR: ghcr.io/ivnvxd/mcp-server-odoo

</details> <details> <summary>Using pip</summary>
# Install globally
pip install mcp-server-odoo

# Or use pipx for isolated environment
pipx install mcp-server-odoo

Then use mcp-server-odoo as the command in your MCP configuration.

</details> <details> <summary>From source</summary>
git clone https://github.com/ivnvxd/mcp-server-odoo.git
cd mcp-server-odoo
pip install -e .

Then use the full path to the package in your MCP configuration.

</details>

Configuration

Environment Variables

The server requires the following environment variables:

VariableRequiredDescriptionExample
ODOO_URLYesYour Odoo instance URLhttps://mycompany.odoo.com
ODOO_API_KEYYes*API key for authentication0ef5b399e9ee9c11b053dfb6eeba8de473c29fcd
ODOO_USERYes*Username (if not using API key)admin
ODOO_PASSWORDYes*Password (if not using API key)admin
ODOO_DBNoDatabase name (auto-detected if not set)mycompany
ODOO_LOCALENoLanguage/locale for Odoo responseses_ES, fr_FR, de_DE
ODOO_YOLONoYOLO mode - bypasses MCP security (⚠️ DEV ONLY)off, read, true

*Either ODOO_API_KEY or both ODOO_USER and ODOO_PASSWORD are required.

Notes:

  • If database listing is restricted on your server, you must specify ODOO_DB
  • API key authentication is recommended for better security
  • The server also loads environment variables from a .env file in the working directory

Advanced Configuration

VariableDefaultDescription
ODOO_MCP_DEFAULT_LIMIT10Default number of records returned per search
ODOO_MCP_MAX_LIMIT100Maximum allowed record limit per request
ODOO_MCP_MAX_SMART_FIELDS15Maximum fields returned by smart field selection
ODOO_MCP_LOG_LEVELINFOLog level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
ODOO_MCP_LOG_JSONfalseEnable structured JSON log output
ODOO_MCP_LOG_FILEPath for rotating log file (10 MB, 5 backups)
ODOO_MCP_TRANSPORTstdioTransport type (stdio, streamable-http)
ODOO_MCP_HOSTlocalhostHost to bind for HTTP transport
ODOO_MCP_PORT8000Port to bind for HTTP transport

Transport Options

The server supports multiple transport protocols for different use cases:

1. stdio (Default)

Standard input/output transport - used by desktop AI applications like Claude Desktop.

# Default transport - no additional configuration needed
uvx mcp-server-odoo

2. streamable-http

Standard HTTP transport for REST API-style access and remote connectivity.

# Run with HTTP transport
uvx mcp-server-odoo --transport streamable-http --host 0.0.0.0 --port 8000

# Or use environment variables
export ODOO_MCP_TRANSPORT=streamable-http
export ODOO_MCP_HOST=0.0.0.0
export ODOO_MCP_PORT=8000
uvx mcp-server-odoo

The HTTP endpoint will be available at: http://localhost:8000/mcp/

Note: SSE (Server-Sent Events) transport has been deprecated in MCP protocol version 2025-03-26. Use streamable-http


FAQ

What is the Odoo ERP MCP server?
Odoo ERP is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Odoo ERP?
This profile displays 28 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5—verify behavior in your own environment before production use.

Use Cases

Direct Database Queries from AI

Enable Claude to query your database directly using natural language

Example

Ask 'Show me top 10 customers by revenue this month' and get SQL results instantly

Eliminate manual SQL writing for ad-hoc queries, get insights 10x faster

Data Analysis & Reporting

Generate complex reports and analytics without leaving conversation

Example

Analyze sales trends, cohort retention, user behavior patterns conversationally

Democratize data access—non-technical team members can query databases

Schema Exploration

Understand database structure, relationships, and data models

Example

'Explain the user_orders table schema and its relationships'

Onboard engineers faster, explore unfamiliar databases efficiently

Data Validation & Quality Checks

Run data quality queries to catch anomalies and inconsistencies

Example

Find duplicate records, missing values, orphaned foreign keys automatically

Maintain data integrity with less manual SQL work

Implementation Guide

Prerequisites

  • Claude Desktop 0.7.0+ or Cursor with MCP support
  • Database credentials (read-only recommended for safety)
  • Network access from Claude client to database
  • Understanding of database security and access control

Time Estimate

15-30 minutes including configuration and testing

Installation Steps

  1. 1.Install MCP server: npm install -g @modelcontextprotocol/server-[name]
  2. 2.Configure database connection in Claude Desktop config (~/.claude/mcp.json)
  3. 3.Provide connection string: host, port, database, username, password
  4. 4.Restart Claude Desktop to load MCP server
  5. 5.Test connection: 'List all tables in database'
  6. 6.Run simple query: 'Show me 5 rows from users table'
  7. 7.Verify results and permissions are correct
  8. 8.Document query patterns for team use

Troubleshooting

  • Connection refused: Check database is running and network accessible
  • Authentication failed: Verify credentials, check user permissions
  • Claude can't see tables: Grant appropriate read permissions to database user
  • Slow queries: Add indexes, limit result set size, use read replicas
  • MCP server not loading: Check config syntax, restart Claude Desktop

Best Practices

✓ Do

  • +Use read-only database credentials to prevent accidental writes
  • +Connect to read replica, not production primary database
  • +Set query timeout limits to prevent long-running queries
  • +Document database schema and common queries for AI context
  • +Monitor query performance and optimize slow queries
  • +Use connection pooling for better performance
  • +Test with non-production data first

✗ Don't

  • Don't use production write credentials—risk of data corruption
  • Don't query production database during peak traffic hours
  • Don't expose sensitive PII without proper access controls
  • Don't skip query result validation—AI can misinterpret schema
  • Don't allow unlimited result set sizes—set LIMIT clauses
  • Don't share database credentials in plain text config files

💡 Pro Tips

  • Create database views for common queries to simplify AI access
  • Add schema comments/descriptions so AI understands column meanings
  • Use semantic table/column names ('customer_lifetime_value' not 'clv')
  • Set up query logging to audit what Claude is querying
  • Create saved query templates for recurring analysis
  • Combine with data visualization tools for better insights

Technical Details

Architecture

MCP server acts as bridge between Claude and database, translating natural language to SQL queries and returning results in structured format.

Protocols

  • Model Context Protocol (MCP)
  • Database-specific protocols (PostgreSQL, MySQL, MongoDB)

Compatibility

  • PostgreSQL
  • MySQL
  • SQLite
  • MongoDB
  • Redis

When to Use This

✓ Use When

Use for ad-hoc data queries, exploratory analysis, report generation, schema exploration, and democratizing data access. Best for read-heavy analytics workloads.

✗ Avoid When

Avoid for production write operations, mission-critical transactions, real-time OLTP workloads, or when database contains sensitive PII without proper access controls. Use read replicas, not primary.

Integration

  • Read replica connection for analytics queries
  • Database view layer to abstract complex joins
  • Query result caching for repeated questions
  • Audit logging of all AI-generated queries

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.628 reviews
  • Evelyn Taylor· Sep 25, 2024

    I recommend Odoo ERP for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Advait Jain· Sep 17, 2024

    Odoo ERP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Oshnikdeep· Sep 9, 2024

    According to our notes, Odoo ERP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Michael Ramirez· Sep 1, 2024

    Odoo ERP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ganesh Mohane· Aug 28, 2024

    Odoo ERP is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Aarav Gill· Aug 20, 2024

    Odoo ERP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Michael Kim· Aug 16, 2024

    We evaluated Odoo ERP against two servers with overlapping tools; this profile had the clearer scope statement.

  • Advait Gonzalez· Aug 8, 2024

    Odoo ERP has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Ava Okafor· Jul 27, 2024

    According to our notes, Odoo ERP benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Sakshi Patil· Jul 19, 2024

    Odoo ERP is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

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