Klavis ReportGen

Learn how to use Klavis to connect your AI application to Klavis ReportGen MCP Server

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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.

Prerequisites

• Create an API key

1. Create a Klavis ReportGen MCP Server

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

Request

Python

from klavis import Klavis
from klavis.types import McpServerName

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>",
)

Response

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.

Explore MCP Server Tools

Tools Information

Tool Name	Description
generate_web_reports	Generate visually appealing JavaScript web reports based on search queries

For more details about tool input schema, use the list_tool API.