Teamcenter MCP Server
Universal MCP server for integrating AI assistants with Teamcenter Knowledge Base APIs with Azure AD authentication support.
📦 Live on PyPI: https://pypi.org/project/teamcenter-mcp-server-test/
✨ What's New in v0.1.2
- 🔐 Azure AD Authentication - Connect to real Teamcenter APIs
- 🔄 Hybrid Mode - Seamless switching between localhost mock and production
- 🌍 Environment Variables - Configure via
TEAMCENTER_API_HOST
- 🛡️ Secure - Uses cached Azure AD cookies, no secrets in code
Quick Start (Just Copy & Paste)
🚀 Production Mode (Azure AD)
Add to ~/.continue/config.json
:
{
"experimental": {
"modelContextProtocolServers": [{
"transport": {
"type": "stdio",
"command": "uvx",
"args": ["teamcenter-mcp-server-test@0.1.2"],
"env": {
"TEAMCENTER_API_HOST": "https://codesentinel.azurewebsites.net"
}
}
}]
}
}
🔧 Development Mode (Localhost Mock)
Add to ~/.continue/config.json
:
{
"experimental": {
"modelContextProtocolServers": [{
"transport": {
"type": "stdio",
"command": "uvx",
"args": ["teamcenter-mcp-server-test@0.1.2"]
}
}]
}
}
VS Code (Production)
Add to .vscode/mcp.json
:
{
"servers": {
"teamcenter": {
"type": "stdio",
"command": "uvx",
"args": ["teamcenter-mcp-server-test@0.1.2"],
"env": {
"TEAMCENTER_API_HOST": "https://codesentinel.azurewebsites.net"
}
}
}
}
JetBrains IDEs (Production)
Add to ~/.mcp.json
:
{
"mcpServers": {
"teamcenter": {
"command": "uvx",
"args": ["teamcenter-mcp-server-test@0.1.2"],
"env": {
"TEAMCENTER_API_HOST": "https://codesentinel.azurewebsites.net"
}
}
}
}
🔐 Azure AD Authentication Setup
Prerequisites
-
Authenticate first using the working Python client:
python /path/to/easy_auth_client.py ask "test"
-
Verify authentication works:
ls ~/.teamcenter_easy_auth_cache.json
Environment Variables
TEAMCENTER_API_HOST
: API endpoint URL
- Production:
https://codesentinel.azurewebsites.net
- Development:
http://localhost:8000
(default)
📦 Version History
- v0.1.2 (Latest) - Azure AD authentication + hybrid mode
- v0.1.1 - Localhost mock only (legacy)
Usage
→ See USAGE.md for copy & paste examples ←
Quick examples:
- VS Code:
@workspace get Teamcenter API documentation for part creation
- Continue.dev:
@MCP search for PLM workflow integration documentation
Production Setup
Replace http://localhost:8000
with your real Teamcenter API:
"args": ["teamcenter-mcp-server-test", "--base-url", "https://teamcenter.yourcompany.com"]
Testing
Quick Test
uvx teamcenter-mcp-server-test --version
Demo/Development Setup
Start mock API server:
git clone https://github.com/your-repo/mock-api
cd mock-api
uv run uvicorn main:app --reload
Server runs on http://localhost:8000
- use this URL in configs above.
Development (Advanced)
Click for development setup
Installation
curl -LsSf https://astral.sh/uv/install.sh | sh
Build Package
uv build
Run Tests
uv run pytest tests/ -v
Publishing to PyPI
→ See DEVELOPER.md for release instructions ←
Files Overview
auth_mcp_stdio.py
: Main MCP server
main.py
: Mock API server for development
pyproject.toml
: Package configuration