RUN IN TERMINAL
claude mcp add 49-mcp-kql-server -- uvx mcp-kql-server
ADD TO claude_desktop_config.json
{
"mcpServers": {
"49-mcp-kql-server": {
"command": "uvx",
"args": ["mcp-kql-server"]
}
}
}
ADD TO .vscode/mcp.json
{
"mcpServers": {
"49-mcp-kql-server": {
"command": "uvx",
"args": ["mcp-kql-server"]
}
}
}
ADD TO .cursor/mcp.json
{
"mcpServers": {
"49-mcp-kql-server": {
"command": "uvx",
"args": ["mcp-kql-server"]
}
}
}
About This MCP Server
Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration. This is a Model Context Protocol (MCP) server that extends AI assistants like Claude with cloud & infrastructure capabilities via the stdio transport.
Package
mcp-kql-server on pypi
HOW TO USE
Select your AI client above to get the install command. This MCP server uses the stdio transport and is available on pypi.
What tools does it provide?
The MCP KQL Server server extends your AI assistant with cloud & infrastructure capabilities. Once installed, your AI can use its tools automatically.
