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For Developer

Follow the instructions below to integrate Markdown2doc MCP server to your AI application using our API or SDK.

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Prerequisites

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1. Create a Markdown2doc MCP Server

Use the following endpoint to create a new remote Markdown2doc MCP server instance:

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Request

from klavis import Klavis
from klavis.types import McpServerName

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

# Create a Markdown2doc MCP server instance
markdown2doc_server = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MARKDOWN2DOC,
    user_id="<YOUR_USER_ID>",
    platform_name="<YOUR_PLATFORM_NAME>",
)

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Response

{
  "serverUrl": "https://markdown2doc-mcp-server.klavis.ai/sse?instance_id=<instance-id>",
  "instanceId": "<instance-id>"
}
serverUrl specifies the endpoint of the Markdown2doc MCP server, which allows you to convert markdown to various document formats.
instanceId is used for authentication and identification of your server instance.

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Explore MCP Server Tools

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