Connectto Markdown2doc, YouTube, LinkedIn MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Markdown2doc, YouTube, LinkedIn for enhanced automation capabilities in Klavis AI.
Markdown2doc
Convert markdown text to different file formats (pdf, docx, doc, html), based on Pandoc
Available Tools:
- convert_markdown_to_file
YouTube
Extract and convert YouTube video information to markdown format
Available Tools:
- get_youtube_video_transcript
LinkedIn is a business and employment-oriented online service
Quick Setup Guide
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Configure Connections
Add your desired MCP servers to LlamaIndex and configure authentication settings.
Test & Deploy
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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"))
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,
)
youtube_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.YOUTUBE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
linkedin_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.LINKEDIN,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
markdown2doc_tools = await aget_tools_from_mcp_url(
markdown2doc_mcp_instance.server_url,
client=BasicMCPClient(markdown2doc_mcp_instance.server_url)
)
youtube_tools = await aget_tools_from_mcp_url(
youtube_mcp_instance.server_url,
client=BasicMCPClient(youtube_mcp_instance.server_url)
)
linkedin_tools = await aget_tools_from_mcp_url(
linkedin_mcp_instance.server_url,
client=BasicMCPClient(linkedin_mcp_instance.server_url)
)
markdown2doc_agent = FunctionAgent(
name="markdown2doc_agent",
tools=markdown2doc_tools,
llm=llm,
)
youtube_agent = FunctionAgent(
name="youtube_agent",
tools=youtube_tools,
llm=llm,
)
linkedin_agent = FunctionAgent(
name="linkedin_agent",
tools=linkedin_tools,
llm=llm,
)
workflow = AgentWorkflow(
agents=[markdown2doc_agent, youtube_agent, linkedin_agent],
root_agent="markdown2doc_agent",
)Frequently Asked Questions
Everything you need to know about connecting to these MCP servers
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