Connectto Doc2markdown, Cloudflare MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Doc2markdown, Cloudflare for enhanced automation capabilities in Klavis AI.
Doc2markdown
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Convert any file to markdown using markitdown
Available Tools:
- convert_document_to_markdown
Cloudflare
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Cloudflare provides content delivery network services, DDoS protection, and security.
Quick Setup Guide
Follow these steps to connect LlamaIndex to these MCP servers
1
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
2
Configure Connections
Add your desired MCP servers to LlamaIndex and configure authentication settings.
3
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
LlamaIndex + KlavisAI Integration Snippets
import os
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from llama_index.tools.mcp import (
BasicMCPClient,
get_tools_from_mcp_url,
aget_tools_from_mcp_url,
)
from llama_index.core.agent.workflow import FunctionAgent, AgentWorkflow
# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
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,
)
cloudflare_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.CLOUDFLARE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
doc2markdown_tools = await aget_tools_from_mcp_url(
doc2markdown_mcp_instance.server_url,
client=BasicMCPClient(doc2markdown_mcp_instance.server_url)
)
cloudflare_tools = await aget_tools_from_mcp_url(
cloudflare_mcp_instance.server_url,
client=BasicMCPClient(cloudflare_mcp_instance.server_url)
)
doc2markdown_agent = FunctionAgent(
name="doc2markdown_agent",
tools=doc2markdown_tools,
llm=llm,
)
cloudflare_agent = FunctionAgent(
name="cloudflare_agent",
tools=cloudflare_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[doc2markdown_agent, cloudflare_agent],
root_agent="doc2markdown_agent",
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
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