TrakSYS MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@TrakSYS MCP ServerShow me the OEE and top downtime reasons for Production Line 2 yesterday."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
TrakSYS MCP Server
Manufacturing Analytics Platform
Prerequisites
Python 3.9+
Anthropic API Key
Related MCP server: SQL Server MCP
Setup testing again
Step 1: Pull the project repository
Clone repository
Step 2: Configure the environment variables
Create or edit the
.envfile in the project root and verify that the following variables are set correctly:
ANTHROPIC_API_KEY="" # Enter your Anthropic API secret keyStep 3: Install dependencies
Option 1: Setup with uv (Recommended)
uv is a fast Python package installer and resolver.
Install uv, if not already installed:
pip install uvCreate and activate a virtual environment:
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activateInstall dependencies:
uv pip install -e .Run the project
uv run python src/server.pyFeatures
8 composable entity-based tools
2 guided investigation prompts
Read-only secure access
OpenWebUI integration ready
Documentation
this is the .env file
# Database connection
#MSSQL_CONNECTION_STRING=
MSSQL_CONNECTION_STRING=
CLAUDE_MODEL=claude-sonnet-4-5
ANTHROPIC_API_KEY=
USE_UV=0
# Security
READ_ONLY=true
ENABLE_WRITES=false
# Logging
LOG_LEVEL=INFO
LOG_FORMAT=json
# Timeouts
MSSQL_CONNECTION_TIMEOUT=5
MSSQL_QUERY_TIMEOUT=30
# Limits
MAX_ROWS=1000
MAX_QUERY_LENGTH=8000
SERVER_TRANSPORT=stdio
HTTP_BIND_HOST=0.0.0.0
HTTP_BIND_PORT=8080Demo
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