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Panda Odoo MCP Server

@pandeussilvae

Basic information

Category

Other

Transports

stdio

Author

pandeussilvae

Submitted by

Paolo Nugnes

About Panda Odoo MCP Server

The Odoo MCP Server is a standardized interface for interacting with Odoo instances through the MCP (Model Context Protocol). It provides support for:

Panda Odoo MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "streamable-remote": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "http://your.ip.address.or.domain:8080/mcp",
        "--transport",
        "http-only",
        "--allow-http",
        "--debug"
      ],
      "env": {}
    }
  }
}

Panda Odoo MCP Server tools

Tool list not available yet

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Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Panda Odoo Mcp Server?

Panda Odoo Mcp Server is an MCP (Model Context Protocol) server that connects AI assistants or MCP clients to Odoo ERP systems. It supports multiple transport modes (stdio, streamable HTTP, classic HTTP, and SSE) and is configurable via a JSON file or environment variables.

How to use Panda Odoo Mcp Server?

Install by cloning the repository and running pip install . (optionally with caching or dev extras). Copy the example configuration file to odoo_mcp/config/config.json, edit it with your Odoo URL, database, credentials, and desired connection type. Start the server with python -m odoo_mcp.server (stdio mode) or python -m odoo_mcp.server streamable_http (streamable_http mode). Docker Compose is also supported.

Key features of Panda Odoo Mcp Server

  • Supports stdio, streamable HTTP, classic HTTP, and SSE transports.
  • Configuration via JSON file or environment variables.
  • Rate limiting (requests per minute, max wait seconds).
  • Connection pooling and session timeout.
  • Caching support (optional dependency).
  • Docker Compose deployment.

Use cases of Panda Odoo Mcp Server

  • Automate Odoo data operations from an AI chat interface.
  • Stream real-time Odoo data to MCP-compatible clients.
  • Integrate Odoo with external tools via standard MCP protocol.

Frequently asked questions

1

What connection types does the server support?

It supports `stdio` (default), `streamable_http` (HTTP with streaming/chunked responses), `http` (classic HTTP POST), and SSE (Server-Sent Events). Configure via the `connection_type` field in `config.json` or the `CONNECTION_TYPE` environment variable.

2

What are the runtime requirements?

Python 3 and pip. The Odoo instance must be accessible over the network (XML-RPC or JSON-RPC protocol). Optional caching library can be installed with `pip install .[caching]`.

3

How do I configure the server?

Copy `odoo_mcp/config/config.example.json` to `config.json` and edit fields such as `odoo_url`, `database`, `username`, `api_key`, `protocol`, `connection_type`, and `http` settings. Environment variables (e.g., `ODOO_URL`, `ODOO_DB`, `ODOO_USER`) override the JSON file.

4

How do I start the server in HTTP streaming mode?

Run `python -m odoo_mcp.server streamable_http` (optionally with a config file path). The server listens on the host and port specified in the `http` section of the configuration (default `0.0.0.0:8080`). Endpoint is `POST /mcp`.

5

Can I use environment variables instead of a config file?

Yes. Environment variables such as `ODOO_URL`, `ODOO_DB`, `ODOO_USER`, `ODOO_PASSWORD`, `PROTOCOL`, `CONNECTION_TYPE`, and `LOGGING_LEVEL` are supported and always take precedence over values in the JSON configuration file.

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