claude mcp add 49-mcp-kql-server -- uvx mcp-kql-server
{
"mcpServers": {
"49-mcp-kql-server": {
"command": "uvx",
"args": ["mcp-kql-server"]
}
}
}
{
"mcpServers": {
"49-mcp-kql-server": {
"command": "uvx",
"args": ["mcp-kql-server"]
}
}
}
{
"mcpServers": {
"49-mcp-kql-server": {
"command": "uvx",
"args": ["mcp-kql-server"]
}
}
}
About This MCP Server
The mcp-kql-server is a cloud-based server that enables the execution of KQL queries in AI prompts using NL2KQL, a natural language to KQL converter, and integrates with Azure Data Explorer for data analysis. It allows developers to leverage the power of KQL in their AI applications, providing schema discovery capabilities to simplify the process. Developers would use this server when they need to incorporate KQL querying into their AI workflows, particularly those utilizing Azure Data Explorer.
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.
