Create powerful AI workflows by connecting multiple MCP servers including Fathom, Fireflies for enhanced automation capabilities in Klavis AI.
Fathom is an AI meeting assistant that records, transcribes, and summarizes your video calls. Automatically capture meeting notes, action items, and key insights from Zoom, Google Meet, and Microsoft Teams meetings
Fireflies.ai is an AI meeting assistant that automatically records, transcribes, and summarizes your meetings across Zoom, Google Meet, Teams, and other platforms. Extract action items, key insights, and searchable notes from all your conversations.
Follow these steps to connect Together AI to these MCP servers
Sign up for KlavisAI to access our MCP server management platform.
Add your desired MCP servers to Together AI and configure authentication settings.
Verify your connections work correctly and start using your enhanced AI capabilities.
import os
import json
from together import Together
from klavis import Klavis
from klavis.types import McpServerName, ConnectionType, ToolFormat
# Initialize clients
together_client = Together(api_key=os.getenv("TOGETHER_API_KEY"))
klavis_client = Klavis(api_key=os.getenv("KLAVIS_API_KEY"))
fathom_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FATHOM,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
fireflies_mcp_instance = klavis_client.mcp_server.create_server_instance(
server_name=McpServerName.FIREFLIES,
user_id="1234",
connection_type=ConnectionType.STREAMABLE_HTTP,
)
# Get all MCP tools
fathom_tools = klavis_client.mcp_server.list_tools(
server_url=fathom_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.OPENAI,
)
fireflies_tools = klavis_client.mcp_server.list_tools(
server_url=fireflies_mcp_instance.server_url,
connection_type=ConnectionType.STREAMABLE_HTTP,
format=ToolFormat.OPENAI,
)
# Combine all tools
all_tools = []
all_tools.extend(fathom_tools.tools)
all_tools.extend(fireflies_tools.tools)
messages = [
{"role": "system", "content": "You are a helpful AI assistant with access to multiple data sources."},
{"role": "user", "content": user_message}
]
response = together_client.chat.completions.create(
model="meta-llama/Llama-2-70b-chat-hf",
messages=messages,
tools=all_tools
)
Everything you need to know about connecting to these MCP servers
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