Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration
uvx mcp-kql-serverAdd this server entry to the mcpServers object in your Claude Desktop config, then restart the app.
{
"mcpServers": {
"io-github-4r9un-mcp-kql-server": {
"command": "uvx",
"args": [
"mcp-kql-server"
]
}
}
}~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonNo remote HTTP endpoint is advertised. Use the package or stdio setup shown in Install.
MCP KQL Server is an MCP server for Execute KQL in AI prompts via NL2KQL with schema discovery and Azure Data Explorer integration. It supports STDIO transport.
Use the generated config in Install. This server runs with uvx mcp-kql-server; add any required environment variables before starting your client.
Choose the Claude Desktop tab in Install and copy the config for uvx mcp-kql-server. Add required environment variables before starting Claude Desktop.
Choose the Claude Code tab in Install and copy the config for uvx mcp-kql-server. Add required environment variables before starting Claude Code.
Choose the Codex tab in Install and copy the config for uvx mcp-kql-server. Add required environment variables before starting Codex.
Choose the Cursor or VS Code tab in Install and copy the config for uvx mcp-kql-server. Add required environment variables before starting Cursor or VS Code.
MCP KQL Server uses STDIO transport. Use the package or command config in Install.
MCP KQL Server inventory is listed when the MCP endpoint exposes tools, resources, or prompts. Some servers require auth first.
MCP KQL Server does not advertise a verified auth requirement. If discovery fails, it may still need provider login, an API key, a bearer token, or a session header.
| Package | Registry | Version | Inputs |
|---|---|---|---|
mcp-kql-serverstdio | pypi | 2.1.3 | None advertised |