configfacets_mcp
About
configfacetsmcp is the MCP server for Configfacets, allowing AI models to interact with configuration data via the Model Context Protocol.
Details
- Author
- configfacets
- Downloads
- 138
- Categories
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Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
configfacets_mcpCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
—
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"configfacets_mcp": {
"configfacets": {
"command": "uv",
"args": [
"--directory",
"<absolute path>/coreconcepts_mcp",
"run",
"coreconcepts.py"
]
}
}
}
}
McpServers
{
"configfacets": {
"command": "uv",
"args": [
"--directory",
"<absolute path>/coreconcepts_mcp",
"run",
"coreconcepts.py"
]
}
}
configfacets_mcp
Configfacets MCP Server
Install
We recommend using uv to manage your Python projects.
uv init <repository_name>
cd <repository_name>
Then add Configfacets MCP server to your project dependencies
uv add "configfacets-mcp"
Initialize your MCP server
coreconcepts.py
from configfacets.server import ConfigfacetsMCP
mcp_server = ConfigfacetsMCP(
server="myserver"
repository="configfacets/core-concepts",
version="appconfigs",
api_key="<your apikey>",
)
mcp_server.run()
Build and Publish
uv build
uv publish
{
"mcpServers": {
"configfacets": {
"command": "uv",
"args": [
"--directory",
"<absolute path>/coreconcepts_mcp",
"run",
"coreconcepts.py"
]
}
}
}
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