Connectto Doc2markdown, Supabase, Dropbox MCP Servers
Create powerful AI workflows by connecting multiple MCP servers including Doc2markdown, Supabase, Dropbox for enhanced automation capabilities in Klavis AI.
Doc2markdown
Convert any file to markdown using markitdown
Available Tools:
- convert_document_to_markdown
Supabase
Supabase official MCP Server
Available Tools:
- supabase_list_projects
- supabase_get_project
- supabase_get_cost
- +21 more tools
Dropbox
Dropbox is a file hosting service that offers cloud storage and file synchronization
Quick Setup Guide
Follow these steps to connect LangChain to these MCP servers
Create Your Account
Sign up for KlavisAI to access our MCP server management platform.
Configure Connections
Add your desired MCP servers to LangChain and configure authentication settings.
Test & Deploy
Verify your connections work correctly and start using your enhanced AI capabilities.
LangChain + KlavisAI Integration Snippets
import os
import asyncio
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI
# Initialize clients
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
llm = ChatOpenAI(model="gpt-4o-mini", api_key=os.getenv("OPENAI_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,
)
supabase_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.SUPABASE,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
dropbox_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.DROPBOX,
user_id="1234",
platform_name="Klavis",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
mcp_client = MultiServerMCPClient({
"doc2markdown": {
"transport": "streamable_http",
"url": doc2markdown_mcp_instance.server_url
},
"supabase": {
"transport": "streamable_http",
"url": supabase_mcp_instance.server_url
},
"dropbox": {
"transport": "streamable_http",
"url": dropbox_mcp_instance.server_url
}
})
tools = asyncio.run(mcp_client.get_tools())
agent = create_react_agent(
model=llm,
tools=tools,
)
response = asyncio.run(agent.ainvoke({
"messages": [{"role": "user", "content": "Your query here"}]
}))Frequently Asked Questions
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