Markdown2doc

Prerequisites Before you begin, create an account and get your API Key.

Getting started

Connect to Markdown2doc to convert markdown text to different file formats (PDF, DOCX, DOC, HTML, HTML5) through AI agents.

API
UI
Open Source

Install the SDKs (optional)

pip install klavis

npm install klavis

Create a Strata MCP Server with Markdown2doc

from klavis import Klavis
from klavis.types import McpServerName

klavis_client = Klavis(api_key="YOUR_API_KEY")

# Create a Strata MCP server with Markdown2doc
response = klavis_client.mcp_server.create_strata_server(
    servers=[McpServerName.MARKDOWN2DOC],
    user_id="user123"
)

import { KlavisClient, Klavis } from 'klavis';

const klavis = new KlavisClient({ apiKey: process.env.KLAVIS_API_KEY! });

// Create a Strata MCP server with Markdown2doc
const response = await klavis.mcpServer.createStrataServer({
    servers: [Klavis.McpServerName.Markdown2doc],
    userId: "user123"
});

curl -X POST "https://api.klavis.ai/mcp-server/strata/create" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "servers": ["Markdown2doc"],
    "userId": "user123"
  }'

userId specifies whose connected accounts and data you are accessing in Klavis. It should be a unique id for yourself, your team, or your organization.

API Reference

Full Strata API endpoints

🎉 Your Markdown2doc MCP Server is ready! You can now use your MCP server URL with any MCP-compatible client.

Clone repository (for developers to build from source)

git clone https://github.com/klavis-ai/klavis
cd klavis/mcp_servers/markdown2doc

Run with Docker

# Pull the Docker image
docker pull ghcr.io/klavis-ai/markdown2doc-mcp-server:latest

# Run with API key
docker run -p 5000:5000 \
  -e AUTH_DATA='{"api_key":"your_markdown2doc_api_key"}' \
  ghcr.io/klavis-ai/markdown2doc-mcp-server:latest

Configure MCP client

{
  "mcpServers": {
    "markdown2doc": {
      "url": "http://localhost:5000/mcp/"
    }
  }
}

Available Tools

With our progressive discovery approach, Klavis System is capable of enabling all tools for Markdown2doc. Please use the get_tools API for more details. If you find any tool that is missing, please reach out to contact@klavis.ai.

Next Steps

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas

White-label Authentication

Customize OAuth flows with your own branding

LiveAgent Mem0

Get Started

Core Concepts

Auth with Klavis

Enterprise Security

AI Platform Integrations

MCP Integrations

Deprecated

Knowledge Base

Onboarding

Use MCP Server

OAuth Apps

Getting started

API Reference

Available Tools

Next Steps

AI Platform Integrations

Integrations

API Reference

White-label Authentication

​Getting started

API Reference

​Available Tools

​Next Steps

AI Platform Integrations

Integrations

API Reference

White-label Authentication

Getting started

Available Tools

Next Steps