Connectto Zendesk, Doc2markdown, Calendly MCP Servers

Create powerful AI workflows by connecting multiple MCP servers including Zendesk, Doc2markdown, Calendly with Claude's advanced reasoning capabilities in Klavis AI.

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Zendesk

coming soon

Zendesk is a customer service software company

Doc2markdown

featured

Convert any file to markdown using markitdown

Available Tools:

convert_document_to_markdown

Calendly

coming soon

Manage scheduling and appointments with your agents.

Quick Setup Guide

Follow these steps to connect Claude to these MCP servers

Create Your Account

Configure Connections

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

Test & Deploy

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

Claude + KlavisAI Integration Snippets

View Documentation

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"

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

doc2markdown_mcp_instance = klavis_client.mcp_server.create_server_instance(
    server_name=McpServerName.DOC2MARKDOWN,
    user_id="1234",
    platform_name="Klavis",
    connection_type=ConnectionType.STREAMABLE_HTTP,
)

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

# Get tools from all MCP servers
zendesk_tools = klavis_client.mcp_server.list_tools(
    server_url=zendesk_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
doc2markdown_tools = klavis_client.mcp_server.list_tools(
    server_url=doc2markdown_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)
calendly_tools = klavis_client.mcp_server.list_tools(
    server_url=calendly_mcp_instance.server_url,
    connection_type=ConnectionType.STREAMABLE_HTTP,
    format=ToolFormat.ANTHROPIC,
)

# Combine all tools
all_tools = []
all_tools.extend(zendesk_tools.tools)
all_tools.extend(doc2markdown_tools.tools)
all_tools.extend(calendly_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

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ConnectClaudeto Zendesk, Doc2markdown, Calendly MCP Servers