TrytonMCP Agent Specification

Overview

TrytonMCP is an MCP (Model Context Protocol) server that enables LLMs to interact with Tryton ERP functionality through RPC calls. It wraps the sabatron-tryton_rpc_client library and exposes Tryton models as callable tools.

Project Structure

TrytonMCP/
├── src/tryton-mcp/
│   ├── __init__.py
│   └── server.py          # Main MCP server with tool definitions
├── test_rpc.py            # Standalone RPC test script
└── pyproject.toml         # Project dependencies

Architecture

Dependencies

fastmcp[tasks]>=3.1.0 - MCP server framework
sabatron-tryton-rpc-client>=7.4.0 - Tryton RPC client

Core Components

Client Connection (server.py:45-47, 59-61, 73-75)
- Creates a new Client instance for each tool call
- Credentials are hardcoded in TRYTON_CREDENTIALS dict
Tools - Functions decorated with @mcp.tool():
- create_schedule (line 32-54) - Creates appointments in Naliia module
- find_service_centers (line 57-69) - Searches service centers
- find_products_and_services (line 71-83) - Searches salable products
Context (server.py:20-24) - Dataclass for managing client state (currently unused)

Adding New Tools

To add a new Tryton model as an MCP tool:

@mcp.tool()
def your_tool_name(param1: int, param2: str) -> List[dict]:
    client = Client(**TRYTON_CREDENTIALS)
    client.connect()
    
    name = "model.your.model.method"
    args = [params, ...]
    response = client.call(name, args)
    
    return response

Running the Server

# Activate virtual environment
source .venv/bin/activate

# Run MCP server (stdio mode)
python -m tryton_mcp.server

# Or use fastmcp CLI
fastmcp run tryton_mcp.server

Configuration

Credentials are loaded from environment variables (with sensible defaults):

export TRYTON_HOSTNAME=dev.naliia.co
export TRYTON_DATABASE=capacitacion
export TRYTON_USERNAME=admin
export TRYTON_PASSWORD=admin
export TRYTON_PORT=8000

Or copy .env.example to .env and adjust values:

cp .env.example .env

Note: .env is gitignored to protect credentials.

Testing RPC Calls

Use test_rpc.py to test Tryton RPC calls independently:

python test_rpc.py

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