Connectto Markdown2doc, Confluence, Notion MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Markdown2doc, Confluence, Notion with Claude's advanced reasoning capabilities in Klavis AI.

Markdown2doc icon

Markdown2doc

featured

Convert markdown text to different file formats (pdf, docx, doc, html), based on Pandoc

Available Tools:

  • convert_markdown_to_file
Confluence icon

Confluence

featured

Confluence is a team workspace where knowledge and collaboration meet

Available Tools:

  • confluence_create_page
  • confluence_get_page
  • confluence_get_pages_by_id
  • +11 more tools
Notion icon

Notion

featured

Notion is a collaborative productivity and note-taking application

Available Tools:

  • notion_get_user
  • notion_get_users
  • notion_get_self
  • +10 more tools

Quick Setup Guide

Follow these steps to connect Claude to these MCP servers

1

Create Your Account

Sign up for KlavisAI to access our MCP server management platform and get your API keys.

2

Configure Connections

Add your desired MCP servers to Claude and configure authentication settings with your Anthropic API key.

3

Test & Deploy

Verify your connections work correctly with Claude's function calling and start using your enhanced AI capabilities.

Claude + KlavisAI Integration Snippets

import os
import json
from anthropic import Anthropic
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat

# Initialize clients
anthropic_client = Anthropic(api_key=os.getenv("ANTHROPIC_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))

# Constants
CLAUDE_MODEL = "claude-3-5-sonnet-20241022"
user_message = "Your message here"

markdown2doc_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.MARKDOWN2DOC,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

confluence_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.CONFLUENCE,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

notion_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.NOTION,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

# Get tools from all MCP servers
markdown2doc_tools = klavis_client.mcp_server.list_tools(
    server_url=markdown2doc_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
confluence_tools = klavis_client.mcp_server.list_tools(
    server_url=confluence_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
notion_tools = klavis_client.mcp_server.list_tools(
    server_url=notion_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)

# Combine all tools
all_tools = []
all_tools.extend(markdown2doc_tools.tools)
all_tools.extend(confluence_tools.tools)
all_tools.extend(notion_tools.tools)

messages = [
    {"role": "user", "content": user_message}
]
        
response = anthropic_client.messages.create(
    model=CLAUDE_MODEL,
    max_tokens=4000,
    messages=messages,
    tools=all_tools
)

Frequently Asked Questions

Everything you need to know about connecting Claude to these MCP servers

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