Dolibarr MCP Server
Provides a Model Context Protocol interface for the Dolibarr ERP/CRM, enabling AI agents to manage customers, products, invoices, and orders. It features specialized search tools and server-side filtering to efficiently interact with Dolibarr's REST API while minimizing token usage.
README
Dolibarr MCP Server
Dolibarr MCP delivers a Model Context Protocol (MCP) interface for the Dolibarr
ERP/CRM. The project mirrors the project structure of prestashop-mcp:
an async API client, a production-ready STDIO server, and focused
documentation.
Design Note: While sharing the same architecture, this server implements specialized search tools (e.g., search_products_by_ref, resolve_product_ref) instead of a single unified get_ tool. This design choice ensures efficient server-side filtering via Dolibarr's SQL API, preventing the agent from accidentally loading thousands of records and exceeding context limits.
Claude Desktop and other MCP-aware tools can use the server to manage customers, products, invoices, orders, and contacts in a Dolibarr instance.
Consult the bundled documentation index for deep dives into configuration, API coverage, and contributor workflows.
✨ Features
- Full ERP coverage – CRUD tools for users, customers, products, invoices, orders, contacts, projects, and raw API access.
- Advanced Search – Server-side filtering for products, customers, and projects to minimize token usage and costs.
- Async/await HTTP client – Efficient Dolibarr API wrapper with structured error handling.
- Ready for MCP hosts – STDIO transport compatible with Claude Desktop out of the box.
- Shared workflow with prestashop-mcp – Identical developer ergonomics and documentation structure across both repositories.
✅ Prerequisites
- Python 3.8 or newer.
- Access to a Dolibarr installation with the REST API enabled and a personal API token.
📦 Installation
Linux / macOS
git clone https://github.com/latinogino/dolibarr-mcp.git
cd dolibarr-mcp
python3 -m venv venv_dolibarr
source venv_dolibarr/bin/activate
pip install -e .
# Optional development extras
pip install -e '.[dev]'
While the virtual environment is active record the Python executable path with
which python. Claude Desktop must launch the MCP server using this interpreter.
Windows (PowerShell)
git clone https://github.com/latinogino/dolibarr-mcp.git
Set-Location dolibarr-mcp
py -3 -m venv venv_dolibarr
./venv_dolibarr/Scripts/Activate.ps1
pip install -e .
# Optional development extras (escape brackets in PowerShell)
pip install -e .`[dev`]
Run Get-Command python (or Get-Command python.exe) while the environment is
activated and note the absolute path. Claude Desktop should use this interpreter
inside the virtual environment, for example
C:\\path\\to\\dolibarr-mcp\\venv_dolibarr\\Scripts\\python.exe.
Docker (optional)
docker compose up -d
# or
docker build -t dolibarr-mcp .
docker run -d \
-e DOLIBARR_URL=https://your-dolibarr.example.com/api/index.php \
-e DOLIBARR_API_KEY=YOUR_API_KEY \
dolibarr-mcp
⚙️ Configuration
Environment variables
The server reads configuration from the environment or a .env file. Both
DOLIBARR_URL and DOLIBARR_SHOP_URL are accepted for the base API address.
| Variable | Description |
|---|---|
DOLIBARR_URL / DOLIBARR_SHOP_URL |
Base Dolibarr API endpoint, e.g. https://example.com/api/index.php. Trailing slashes are handled automatically. |
DOLIBARR_API_KEY |
Personal Dolibarr API token. |
LOG_LEVEL |
Optional logging verbosity (INFO, DEBUG, WARNING, …). |
MCP_TRANSPORT |
Transport to use: stdio (default) or http for streamable HTTP. |
MCP_HTTP_HOST |
Host/interface to bind when using HTTP transport (default 0.0.0.0). |
MCP_HTTP_PORT |
Port to bind when using HTTP transport (default 8080). |
Example .env:
DOLIBARR_URL=https://your-dolibarr.example.com/api/index.php
DOLIBARR_API_KEY=YOUR_API_KEY
LOG_LEVEL=INFO
Claude Desktop configuration
Add the following block to claude_desktop_config.json, replacing the paths and
credentials with your own values:
{
"mcpServers": {
"dolibarr": {
"command": "C:\\path\\to\\dolibarr-mcp\\venv_dolibarr\\Scripts\\python.exe",
"args": ["-m", "dolibarr_mcp.dolibarr_mcp_server"],
"cwd": "C:\\path\\to\\dolibarr-mcp",
"env": {
"DOLIBARR_SHOP_URL": "https://your-dolibarr.example.com",
"DOLIBARR_API_KEY": "YOUR_API_KEY"
}
}
}
}
Restart Claude Desktop after saving the configuration. The MCP server reads the same environment variables when launched from Linux or macOS hosts.
▶️ Usage
Start the MCP server
The server communicates over STDIO by default, so run it in the foreground from the virtual environment:
python -m dolibarr_mcp.dolibarr_mcp_server
Logs are written to stderr to avoid interfering with the MCP protocol. Keep the process running while Claude Desktop is active.
HTTP streaming mode (for Open WebUI or remote MCP clients)
Enable the HTTP transport by setting MCP_TRANSPORT=http (and optionally
MCP_HTTP_HOST / MCP_HTTP_PORT). This keeps the server running without STDIO
and exposes the Streamable HTTP transport compatible with Open WebUI:
MCP_TRANSPORT=http MCP_HTTP_PORT=8080 python -m dolibarr_mcp.dolibarr_mcp_server
Then point Open WebUI’s MCP configuration at http://<host>:8080/. The MCP
protocol headers (including mcp-protocol-version) are handled automatically by
Open WebUI’s MCP client.
Test the Dolibarr credentials
Use the standalone connectivity check before wiring the server into an MCP host:
python -m dolibarr_mcp.test_connection --url https://your-dolibarr.example.com/api/index.php --api-key YOUR_API_KEY
When the environment variables are already set, omit the overrides and run
python -m dolibarr_mcp.test_connection.
🧪 Development
- Run the test-suite with
pytest(seedocs/development.mdfor coverage options and Docker helpers). - Editable installs rely on the
src/layout and expose thedolibarr-mcpconsole entry point for backwards compatibility. - The repository structure, tooling, and docs intentionally mirror
prestashop-mcpto keep the companion projects aligned.
📄 License
Released under the MIT License.
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