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teamcenter-mcp-server-test
Advanced tools
Authenticated MCP server for Teamcenter Knowledge Base APIs with Azure AD support
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/
TEAMCENTER_API_HOST
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"
}
}
}]
}
}
Add to ~/.continue/config.json
:
{
"experimental": {
"modelContextProtocolServers": [{
"transport": {
"type": "stdio",
"command": "uvx",
"args": ["teamcenter-mcp-server-test@0.1.2"]
}
}]
}
}
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"
}
}
}
}
Add to ~/.mcp.json
:
{
"mcpServers": {
"teamcenter": {
"command": "uvx",
"args": ["teamcenter-mcp-server-test@0.1.2"],
"env": {
"TEAMCENTER_API_HOST": "https://codesentinel.azurewebsites.net"
}
}
}
}
Authenticate first using the working Python client:
# Run this once to cache Azure AD credentials
python /path/to/easy_auth_client.py ask "test"
Verify authentication works:
# Check for cached cookie
ls ~/.teamcenter_easy_auth_cache.json
TEAMCENTER_API_HOST
: API endpoint URL
https://codesentinel.azurewebsites.net
http://localhost:8000
(default)→ See USAGE.md for copy & paste examples ←
Quick examples:
@workspace get Teamcenter API documentation for part creation
@MCP search for PLM workflow integration documentation
Replace http://localhost:8000
with your real Teamcenter API:
"args": ["teamcenter-mcp-server-test", "--base-url", "https://teamcenter.yourcompany.com"]
uvx teamcenter-mcp-server-test --version
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.
curl -LsSf https://astral.sh/uv/install.sh | sh
uv build
uv run pytest tests/ -v
→ See DEVELOPER.md for release instructions ←
auth_mcp_stdio.py
: Main MCP servermain.py
: Mock API server for developmentpyproject.toml
: Package configurationFAQs
Authenticated MCP server for Teamcenter Knowledge Base APIs with Azure AD support
We found that teamcenter-mcp-server-test demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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