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For Developer

Follow the instructions below to integrate Klavis ReportGen MCP server to your AI application using our API or SDK.

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Prerequisites

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1. Create a Klavis ReportGen MCP Server

Use the following endpoint to create a new remote Klavis ReportGen MCP server instance:

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Request

from klavis import Klavis
from klavis.types import McpServerName, ConnectionType

klavis_client = Klavis(api_key="<YOUR_API_KEY>")

# Create a Klavis ReportGen MCP server instance
klavis_reportgen_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.KLAVIS_REPORTGEN,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

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Response

{
  "serverUrl": "https://reportgen-mcp-server.klavis.ai/sse?instance_id=<instance-id>",
  "instanceId": "<instance-id>"
}
serverUrl specifies the endpoint of the Klavis ReportGen MCP server, which you can connect and use this MCP Server to generate reports from a query.
instanceId is used for authentication and identification of your server instance.

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