configfacets_mcp

by configfacets

138 downloads
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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
Other

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:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name configfacets_mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. 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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